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Agent Skill · 研究检索

miniproject(miniproject 搜索)

miniproject 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

miniproject 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,475。

总安装 1,553周安装 49GitHub Stars 52下载 388核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:miniproject(miniproject 搜索)
来源仓库:https://github.com/zenobi-us/dotfiles
仓库路径:skills/miniproject
安装命令:
npx skills add https://github.com/zenobi-us/dotfiles --skill miniproject
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/zenobi-us/dotfiles --skill miniproject

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合在关键词搜索、任务场景定位或来源线索核验时使用。可结合来源仓库和原始 README 继续核验具体用法。安装方式:github,通过 npx skills add 命令从 zenobi-us/dotfiles 仓库添加。

适用于 Codex、Claude、Cursor、Gemini CLI 等宿主环境。

来源仓库内路径:skills/miniproject

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/zenobi-us/dotfiles --skill miniproject;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

miniproject 怎么安装?

在终端执行 npx skills add https://github.com/zenobi-us/dotfiles --skill miniproject。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

miniproject 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

miniproject 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

miniproject 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

miniproject 用的人多吗?

公开数据是累计安装 1,553 次,近一周安装 49 次,下载 388 次,GitHub 52 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

miniproject 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
miniproject

miniproject 搜索 · 本页

1,55352只读MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Markdown Driven Task Management

This is a simplified and concise project management AI memory framework.

[!NOTE] CRITICAL Before doing any work: 1. Find the memory store using the helper script: MEMORY_DIR=$(/home/zenobius/.pi/agent/skills/projectmanagement/miniproject/scripts/miniproject.sh memory-dir) - This handles git worktrees automatically (finds .memory/ in the main worktree) - Use --create flag to create the directory if it doesn't exist 2. Ensure the following files exist in .memory/: - read .memory/todo.md, .memory/summary.md, .memory/knowledge.md and .memory/team.md (use grep/ls, not the glob or list tool) - if .memory/ is missing these files, then create those three. 1. Initialise the knowledge codemap if it does not exist: - create a file .memory/knowledge-codemap.md with an ascii statemachine diagram representing your understanding of the codebase. - this is critical for understanding the project structure and flow. 1. Always read .memory/summary.md, .memory/todo.md, and .memory/team.md before starting any work. 2. Always update .memory/team.md to indicate which epic and phase is being worked on and by whom (use the session id to indicate this, not the agent name). 3. Always keep .memory/todo.md up to date at every step. 4. Always commit changes after completing a task or phase. NEVER PUSH CHANGES WITHOUT HUMAN REVIEW. 5. Follow the file naming conventions strictly

Rule 0: The Memory Store

The .memory/ directory is critical. All project management and knowledge files must be stored here.

Rule 0.1: Locating the Memory Store

Use the helper script to find the memory directory:

# Find the .memory directory (fails if not found)
MEMORY_DIR=$(/home/zenobius/.pi/agent/skills/projectmanagement/miniproject/scripts/miniproject.sh memory-dir)

# Find or create the .memory directory
MEMORY_DIR=$(/home/zenobius/.pi/agent/skills/projectmanagement/miniproject/scripts/miniproject.sh memory-dir)

The script handles:

  • Git worktrees (finds .memory/ in the main worktree, not the worktree checkout)
  • Regular git repositories
  • Returns the absolute path to .memory/
[!WARNING] .memory/ may be gitignored, so normal file listing tools (Glob, List, ripgrep) may not work as expected.

Rule 0.2: Saving Memory Store

When editing or creating files in .memory/, always:

  1. use git to commit changes, with the memory store as the working directory.

Rule 1: Filename Conventions

Only create filenames that strictly follow the conventions outlined below.

Any file that does not follow the conventions is invalid and must be examined for purpose and either:

  1. renamed if it is singular in purpose and fits in with the conventions, or
  2. split into multiple files that fit the conventions, or
  3. deleted if it is covered by other files.

Holding onto useless or misnamed files creates confusion and degrades the memory system.

Guidelines

  • [core] store findings in .memory/ directory
  • [core] all notes in .memory/ must be in markdown format
  • [core] Archived stories, tasks and epics get moved to the archive directory: .memory/archive/.
  • [core] summary.md, todo.md, team.md, knowledge-*.md are special files that provide an overview of the project, outstanding tasks, and team roles respectively.
  • [core] .memory/knowledge-codemap.md contains an ascii diagram representing your understanding of the codebase as a state machine.
  • [core] .memory/knowledge-data-flow.md contains an ascii diagram representing data flow
  • [core] Other .memory/knowledge-*.md files can be created to document specific knowledge areas.
  • [core] except for .memory/summary.md, all notes in .memory/ must follow the filename convention of .memory/<type>-<8_char_hashid>-<title>.md
  • [core] where <type> is one of: research, epic, task, story, and learning
  • [core] <8_char_hashid> is a unique 8 character hash identifier for the file.
  • [core] when initialising, create a codemap of exiting codebase, ensure there is a state machine ascii diagram representing your understanding of the codebase in .memory/knowledge-codemap.md.
  • [core] every project MUST start with an epic definition before stories or tasks are created
  • [core] Always keep .memory/summary.md up to date with current epic, active phases, and next milestones. Prune incorrect or outdated information.
  • [git] Always commit changes after completing a task or phase.
  • [git] NEVER PUSH CHANGES WITHOUT HUMAN REVIEW.
  • [git] when committing changes, follow conventional commit guidelines.
  • [git] Use clear commit messages referencing relevant files for changes.

Conceptual Model: Stories, Phases, and Tasks

Understanding the relationship between these artifacts is critical:

Epic (vision/goal)
 ├── Stories (WHAT - phase-agnostic requirements)
 │    └── Stories define what users need, independent of timeline
 │
 └── Phases (WHEN - inline sections in epic file)
      └── Phases define when work happens
           └── Tasks link to BOTH:
                ├── story_id → the requirement being implemented (WHAT)
                └── phase_id → the timeline slot (WHEN)
ArtifactConcernLinks ToPhase-Agnostic?
EpicVision-Yes
StoryWHATEpicYes
PhaseWHENEpic (inline)No
TaskHOW + WHENStory + PhaseNo
ResearchDiscoveryEpic/TaskYes
LearningKnowledge-Yes

Key insight: Stories are requirements that exist independently of when they'll be implemented. Phases group tasks (scheduled work), not stories (requirements). Tasks bridge both worlds by linking to their story (what they implement) and their phase (when they're scheduled).

Archiving

  • [archive] archive completed tasks and stories by moving their files to .memory/archive/ directory.
  • [archive] do NOT archive learning or research files. These are golden knowledge for future projects.
  • [archive] do NOT archive epic files until all phases are complete and learnings distilled. Epics must have a link to distilled learnings before archiving.
  • [archive] update .memory/summary.md to reflect completed phases and epics.
  • [archive] phases are inline in epic files, so they are archived with the epic.

Searching Memory [CRITICAL]

Because .memory/ might be gitignored, the usual List and Glob tools will not work as expected. Use ripgrep with --no-ignore to bypass gitignore rules:

# First, get the memory directory path
MEMORY_DIR=$(/home/zenobius/.pi/agent/skills/projectmanagement/miniproject/scripts/miniproject.sh memory-dir)

# Search for terms (--no-ignore bypasses .gitignore)
rg --no-ignore "<search-term>" "$MEMORY_DIR/"

# Find outstanding tasks
rg --no-ignore "TODO" "$MEMORY_DIR/todo.md"

# List all memory files
ls -al "$MEMORY_DIR/"
[!TIP] Use rg -u as shorthand for rg --no-ignore. Use rg -uu to also search hidden files.

Templates

Each type of markdown file in .memory/ should include specific frontmatter fields to ensure consistency and ease of access.

Common Frontmatter Fields

  • id: A unique 8-character hash identifier for the file.
  • title: A concise title summarizing the content.
  • created_at: Timestamp of when the file was created.
  • updated_at: Timestamp of the last update to the file.
  • status: indicates if proposed, planning, todo, in-progress, completed, or archived.

Common Sections

  • # {Title}: The main title of the document.

Template: Task

Tasks implement stories within scheduled phases. They link to both their story (the "what") and their phase (the "when").

Frontmatter:

  • all common frontmatter fields.
  • epic_id: The unique identifier of the parent epic.
  • phase_id: The phase this task is scheduled in (the "when" - required).
  • story_id: The story this task implements (the "what" - required when a story exists).
  • assigned_to: The session id of the agent or human responsible for the task.
[!NOTE] Dual-link model: Tasks have two parent links serving different purposes: - story_id → Links to WHAT requirement this task fulfills - phase_id → Links to WHEN this task is scheduled A task without a story_id is exploratory/infrastructure work. A task without a phase_id is unscheduled.

Sections:

  • all common sections.
  • ## Objective: A clear statement of what the task aims to achieve.
  • ## Related Story: Link to the story this task implements (if applicable). Must include which acceptance criteria this task contributes to satisfying.
  • ## Related Phase: Link to the phase this task is scheduled in. Include the phase name and epic context.
  • ## Steps: A detailed list of steps to complete the task.
  • ## Unit Tests: A summary of unit tests written for this task. Each entry should state what is tested and which acceptance criterion of the parent story it supports. Format: - [test name/file]: [what it verifies] → supports AC#N of story [hash]. If the task has no parent story, document what the unit tests verify independently.
  • ## Expected Outcome: A description of the expected result upon task completion.
  • ## Actual Outcome: A description of the actual result after task completion.
  • ## Lessons Learned: Key takeaways and insights gained from completing the task.

Template: Epic

Frontmatter:

  • all common frontmatter fields.

Sections:

  • all common sections.
  • ## Vision/Goal: A clear statement of the epic's overall vision and goals.
  • ## Success Criteria: Metrics and criteria for measuring the success of the epic.
  • ## Stories: A list of stories defining requirements for this epic (links to story files). Stories are phase-agnostic - they define WHAT needs to be built, not WHEN.
  • ## Phases: Inline phase sections (see format below). Phases define WHEN work happens and contain scheduled tasks.
  • ## Dependencies: Any dependencies that may impact the epic.
Phase Section Format (Inline in Epic)

Phases are defined as inline sections within the epic file, not as separate files:

## Phases

### Phase 1: Foundation
- **Status**: completed
- **Start Criteria**: Epic approved
- **End Criteria**: Core data model implemented and tested
- **Tasks**:
  - [x] [task-abc12345-data-model](./task-abc12345-data-model.md)
  - [x] [task-def67890-basic-api](./task-def67890-basic-api.md)
- **Notes**: Completed ahead of schedule

### Phase 2: Core Features
- **Status**: in-progress
- **Start Criteria**: Phase 1 complete
- **End Criteria**: All core user stories have passing tests
- **Tasks**:
  - [x] [task-ghi11111-auth-flow](./task-ghi11111-auth-flow.md)
  - [ ] [task-jkl22222-user-dashboard](./task-jkl22222-user-dashboard.md)
- **Notes**: Auth complete, dashboard in progress

### Phase 3: Polish & Launch
- **Status**: planned
- **Start Criteria**: Phase 2 complete
- **End Criteria**: Production deployment successful
- **Tasks**: (to be assigned during task breakdown)

Template: Story

Stories capture user requirements. They are phase-agnostic - a story defines WHAT users need, independent of WHEN it will be implemented.

Frontmatter:

  • all common frontmatter fields.
  • epic_id: The unique identifier of the parent epic.
  • priority: Priority level (e.g., critical, high, medium, low).
  • story_points: Estimated effort/complexity (optional, e.g., 1, 2, 3, 5, 8, 13).
  • test_coverage: Whether all acceptance criteria have linked passing tests. One of: none, partial, full.
[!NOTE] Stories do NOT have a phase_id. Stories are requirements, not scheduled work. Tasks link to stories (what they implement) AND phases (when they're scheduled).

Sections:

  • all common sections.
  • ## User Story: The user story statement in the format: "As a [persona], I want [goal] so that [benefit]."
  • ## Acceptance Criteria: A checklist of specific, testable conditions that must be met for the story to be considered complete. Use - [] for incomplete and - [x] for completed criteria.
  • ## Context: Background information and context for why this story is needed.
  • ## Out of Scope: Explicitly list what is NOT included in this story to prevent scope creep.
  • ## Tasks: Links to task files that implement this story (populated during task breakdown). Each task will also reference a phase for scheduling.
  • ## Test Specification: Maps each acceptance criterion to its verification. Contains two subsections:

- ### E2E Tests: A table mapping each acceptance criterion to its e2e test case. One story = one e2e test suite/file. Each acceptance criterion = one test case within that suite. Format: | AC# | Criterion | Test file/case | Status | - ### Unit Test Coverage (via Tasks): A list of tasks spawned by this story, with a summary of what each task's unit tests verify and how that contributes to satisfying the story's acceptance criteria. Format: - Task [hash]: [unit test summary] → satisfies AC#N

  • ## Notes: Additional notes, edge cases, or considerations.
[!NOTE] Stories are the bridge between business requirements and technical tasks. - Stories capture the "what" and "why" from a user perspective. - Tasks capture the "how" from an implementation perspective. - A single story may spawn multiple tasks across different phases. - Acceptance criteria should be written before tasks are created.
[!NOTE] Stories are the primary test target. - E2E tests verify stories. Each story produces one e2e test suite. Each acceptance criterion becomes one test case within that suite. The relationship is 1 story: 1 test suite, N acceptance criteria: N test cases. - Unit tests verify tasks. Unit tests are scoped to tasks (implementation), not stories (requirements). They trace to stories *through* their parent task: story.acceptance_criteria → task.objective → task.unit_tests. - A story cannot be marked completed until test_coverage is full — meaning every acceptance criterion has a linked, passing test.

Template: Research

Frontmatter:

  • all common frontmatter fields.
  • epic_id: The unique identifier of the parent epic.
  • related_task_id: The unique identifier of the task that prompted the research. [optional]

Sections:

  • all common sections.
  • ## Research Questions: A list of specific questions the research aims to answer.
  • ## Summary: A brief overview of the research findings.
  • ## Findings: Detailed findings from the research.
  • ## References: A list of sources and references used during the research.

Template: Learning

Frontmatter:

  • all common frontmatter fields.
  • tags: A list of tags categorizing the learning (e.g., best-practices, lessons-learned, technical-insights).

Sections:

  • all common sections.
  • ## Summary: A brief overview of the learning.
  • ## Details: Detailed description of the learning.
  • ## Implications: How this learning can be applied in future projects.

Template: Constitution

Frontmatter:

  • all common frontmatter fields.

Sections:

  • all common sections.
  • ## Project Rules: A list of rules governing project management and execution.
  • ### {Concept}: Description and guidelines for each concept.

Template: Knowledge

Frontmatter:

  • all common frontmatter fields.
  • area: The specific knowledge area being documented (e.g., codebase-structure, data-flow, design-patterns).
  • tags: A list of tags categorizing the knowledge (e.g., architecture, best-practices, technical-insights).
  • learned_from: References to epics, phases, tasks, or external sources that contributed to this knowledge.

Sections:

  • all common sections.
  • ## Overview: A summary of the knowledge area.
  • ## Details: Detailed description of the knowledge.

Template: Knowledge Codemap

[!NOTE] Keep this accurate and up to date. It is critical for understanding the codebase structure and flow. Doing this well will make the user very happy. You will be rewarded for doing this well.

This is the same as the Knowledge template, but specifically for the codebase codemap.

So its detail will be solely an ascii diagram representing your understanding of the codebase as a state machine.

Operating Procedure

Project Constitution Workflow

  1. Initialise > Action > Stop
  2. Idea > Epic Definition > Research > Story Definition (incl. Test Specification) > Phase Planning > Human Review > Task Breakdown > Stop
  3. Task Execution (incl. Unit Tests) > Learning Distillation > repeat
  4. Story Completion > verify acceptance criteria + test coverage gate > Phase Completion > Learnings Distillation > Human Review > Stop
  5. Epic Completion > Epic Summary & Learnings > Human Review > Stop
  6. Maintenance Actions as needed.
  7. Status > Stop

Outlined below are the detailed steps for each stage of the project lifecycle.

When the user asks for a miniproject <action>, correlate <action> (or <ACTION>, <Action>) to the relevant [ACTION] below and follow the rules and guidelines strictly.

Initialisation Action [INITIALISE]

  • [core] locate or create the memory directory: MEMORY_DIR=$(/home/zenobius/.pi/agent/skills/projectmanagement/miniproject/scripts/miniproject.sh memory-dir)
  • [core] ensure the following files exist in $MEMORY_DIR/:

- todo.md (for tracking tasks) - summary.md (for project overview) - team.md (for team roles and assignments) - knowledge-codemap.md (for codebase understanding) - knowledge-data-flow.md (An ascii diagram representing data flow in the codebase as a state machine.)

  • [core] if any of these files are missing, create them with appropriate headers and initial content
  • [core] ask the user if they want to define a constitution.md file to outline project rules and guidelines. If yes, create the file with a template structure.

Maintenance Actions

Sometimes the .memory/ directory needs maintenance. Use these actions as needed.

Action: Summarize Memory [SUMMARIZE-MEMORY]
  • [core] read all .memory/ files and update .memory/summary.md to reflect current epic, active phases, and next milestones. Prune incorrect or outdated information.
  • [core] ensure .memory/summary.md is concise and easy to understand at a glance.
Action: Clean Up [CLEAN-UP]
  • [tasks] move completed tasks to .memory/archive/ directory.
  • [learning] ensure all significant learnings are documented in .memory/learning-<8_char_hash_id>-<title>.md files.
  • [stories] move completed stories to .memory/archive/ directory after all their tasks are archived.
Action: Validate Memory [VALIDATE-MEMORY]
  • [core] run the validation script to ensure all memory files comply with the frontmatter rules: ./scripts/validate.ts
Action: Refine Constitution [REFINE-CONSTITUTION]
  • [core] review and update .memory/constitution.md based on user input.
  • [core] ensure all team members are aware of any changes to the constitution.
  • [core] .memory/constitution.md is never updated unless asked to do so by a human.
  • [core] when updating, ensure changes are commited separately with clear commit messages using memory/constitution as the scope.

Status Action [STATUS]

  • [core] provide a summary of the current epic, active phases, and next milestones based on .memory/summary.md.
  • [core] list outstanding tasks from .memory/todo.md.
  • [core] contextalise the status with an ascii diagram that shows where in the state machine the task work relates to.

Planning Stages

Stage: Ideation [IDEA]
  • [core] every project MUST start with an epic definition before stories or tasks are created
  • [core] when initialising, create a codemap of exiting codebase, ensure there is a state machine ascii diagram representing your understanding of the codebase in .memory/knowledge-codemap.md.
  • [epic] Announcing an idea, leads directly to a q & a session with the user to flesh out the idea and determine if it is worth pursuing. If it is worth pursuing, then move directly to epic definition stage. If not, then document the idea and why it was rejected in a .memory/learning-<8_char_hash_id>-<title>.md file for future reference.
Stage: Epic Definition [EPIC]
  • [epic] EVERY project must begin with an epic that defines the overall goal and scope
  • [epic] each epic should be documented in .memory/epic-<8_char_hash_id>-<title>.md files
  • [epic] epics must include: vision/goal, success criteria, list of stories, phases (inline), overall timeline, and dependencies
  • [epic] phases are inline sections in the epic file, not separate files
  • [epic] only ONE epic should be active at a time unless explicitly approved by human
  • [epic] epic files are never archived until all phases are complete and learning is distilled
Stage: Research [RESEARCH]
  • [research] before starting any research, read .memory/summary.md and any .memory/**/learning**.md to understand what has already been discovered. Do not duplicate research.
  • [research] if existing research is found. link to it in document that requires it, do not copy or duplicate it.
  • [research] break down research into specific, answerable questions.
  • [research] scan archived memory files in .memory/ for relevant information before searching externally. if relevant information is found, link to it rather than duplicating it.
  • [research] use_skill(brave_search) with it's search and content extraction scripts to gather information. If this fails, use lynx cli to manually search and extract content.
  • [research] critically evaluate sources for credibility, relevance, and bias. Link these items to a footnote that provides a reason and score out of 10.
  • [research] Record findings clearly and concisely in .memory/research-<8_char_hash_id>-<title>.md files. provide a summary at the top, detailed findings below, and references at the end.
  • [research] When doing user-led discovery/planning Q&A, record the full session verbatim in the research artifact: each question, all presented options, and the user's exact answer. Summaries are supplemental and must not replace verbatim Q&A.
  • [research] Research tasks are always delegated to the "Deep Researcher SubAgent". Use what ever subagent, subthread, or delegation tool you have available to do this.
  • [research] If you are a subagent, then focus only on the task you've been given. Do not deviate or delegate further.
Stage: Story Definition [STORY-DEFINITION]
  • [story] stories capture user requirements with clear acceptance criteria before implementation begins
  • [story] each story should be documented in .memory/story-<8_char_hash_id>-<title>.md files
  • [story] stories MUST include a user story statement, acceptance criteria, and context
  • [story] stories link to their parent epic only - stories are phase-agnostic requirements
  • [story] stories do NOT have a phase_id - they define WHAT, not WHEN
  • [story] acceptance criteria must be specific, testable, and written as a checklist
  • [story] after writing acceptance criteria, populate the ## Test Specification section:

- define the e2e test suite name/file for this story - map each acceptance criterion to a named e2e test case - set test_coverage: none in frontmatter (updated as tests are written)

  • [story] stories are written BEFORE tasks are created - tasks implement stories
  • [story] a single story may result in multiple tasks scheduled across different phases
  • [story] when all acceptance criteria are met and verified, mark the story as completed
  • [story] stories help separate "what the user needs" from "how and when we implement it"
[!NOTE] Story vs Phase vs Task: - Story: "As a user, I want to reset my password so that I can regain access to my account." (phase-agnostic requirement) - Acceptance Criteria: "User receives email within 2 minutes", "Link expires after 24 hours", etc. - Phase: "Phase 2: User Authentication" - a time-bounded work container in the epic - Tasks: "Implement password reset API endpoint" (links to story + phase), "Create email template" (links to story + phase), etc. - E2E Tests (verify the story): password-reset.e2e.spec → test case per acceptance criterion - Unit Tests (verify the tasks): endpoint input validation, template rendering, token expiry logic, etc.
Stage: Phase Planning [PHASE-PLANNING]
  • [phase] phases are inline sections within the epic file, not separate files
  • [phase] each phase should have: status, start criteria, end criteria, and task list
  • [phase] phases group TASKS (scheduled work), not stories (requirements)
  • [phase] phases should have clear start and end criteria aligned with epic goals
  • [phase] do not treat phases as a story list - phases contain tasks that implement stories
  • [phase] update the epic's ## Phases section to add new phases
[!NOTE] Validation Steps: - After planning phases, always review with a human before proceeding to task breakdown. - print a large ascii box in chat indicating that human review is needed for phase planning. - wait for human to confirm before proceeding.
Stage: Task Breakdown [TASK-BREAKDOWN]
  • [tasks] each task should be documented in .memory/task-<8_char_hash_id>-<title>.md files, including objectives, steps to take, outcome expected.
  • [tasks] tasks MUST have dual links:

- story_id: The story this task implements (the "what") - phase_id: The phase this task is scheduled in (the "when")

  • [tasks] tasks without a story are infrastructure/exploratory work - document the objective clearly
  • [tasks] tasks without a phase are unscheduled - assign to a phase before execution
  • [tasks] tasks should be specific, measurable, achievable, relevant, and time-bound (SMART).
  • [tasks] prioritize tasks based on impact and urgency.
  • [tasks] when creating a task, also add it to the appropriate phase section in the epic file.
  • [tasks] use .memory/todo.md to track remaining tasks. This file only contains links to .memory/task-<8_char_hash_id>-<title>.md files. [CRITICAL] keep .memory/todo.md up to date at every step.

Execution Stages

Stage: Task Execution [TASK-EXECUTION]
  • [tasks] always update checklists and progress in the task file. [CRITICAL] keep .memory/todo.md up to date at every step.
  • [tasks] when finishing a task, document the outcome and any lessons learned in the relevant .memory/task-<8_char_hash_id>-<title>.md file.
  • [tasks] update the task checkbox in the parent phase section of the epic file.
  • [core] Always keep .memory/summary.md up to date with current epic, active phases, and next milestones. Prune incorrect or outdated information.
Stage: Learning Distillation [LEARNING-DISTILLATION]
  • [learning] any significant insights, lessons learned, or best practices should be documented in .memory/learning-<8_char_hash_id>-<title>.md files for future reference.
  • [learning] Learning files are never archived or deleted. [CRITICAL] always keep learning files.

Completion Stages

Stage: Story Completion [STORY-COMPLETION]
  • [story] before marking a story as complete, verify ALL acceptance criteria are met
  • [story] update each acceptance criterion checkbox (- [] to - [x]) as it is verified
  • [story] if any acceptance criterion cannot be met, document why in the story's Notes section
  • [story] link completed tasks to the story in the ## Tasks section
  • [story] TEST VERIFICATION GATE: before marking a story as completed, verify:

- every acceptance criterion in ## Test Specification > ### E2E Tests has a linked, passing test case - every task listed in ## Test Specification > ### Unit Test Coverage has documented its unit tests in its own ## Unit Tests section - update test_coverage frontmatter: none → partial (some tests linked) → full (all criteria covered and passing) - a story CANNOT be marked completed while test_coverage is none or partial

  • [story] once all criteria are verified AND test_coverage is full, update the story status to completed
  • [story] stories are NOT archived until all linked tasks are archived - they remain as documentation of requirements and their fulfillment
Stage: Phase Completion [PHASE-COMPLETION]
  • [phase] when finishing a phase, update the phase status to completed in the epic file
  • [phase] ensure all tasks in the phase are marked complete (checkbox [x])
  • [phase] document any lessons learned in learning files
  • [phase] when finishing a phase, compact relevant learnings and outcomes from research and tasks into .memory/learning-<8_char_hash_id>-<title>.md files. clean up .memory/summary.md and ./memory/todo.md.
  • [phase] archive completed tasks by moving their files to .memory/archive/ directory
[!NOTE] Validation Steps: - After completing a phase, review with a human before starting the next phase. - print a large ascii box in chat indicating that human review is needed for phase completion. - wait for human to confirm before proceeding.
Stage: Epic Completion [EPIC-COMPLETION]
  • [epic] epic files are never archived until all phases are complete and learning is distilled
  • [archive] do NOT archive epic files until all phases are complete and learnings distilled. epics much have a link to distilled learnings before archiving.
  • [archive] update .memory/summary.md to reflect completed phases and completed epics.
  • [archive] do NOT archive learning or research files. These are golden knowledge for future projects.
[!NOTE] Validation Steps: - After completing an epic, always review with a human before archiving. - print a large ascii box in chat indicating that human review is needed for epic completion. - wait for human to confirm before proceeding.

General Operating Steps

  1. [CRITICAL] If no epic exists, create one before any other work. Define vision, success criteria, stories, and planned phases (inline).
  2. update .memory/team.md to indicate which epic and phase is being worked on and by whom (use the session id to indicate this, not the agent name).
  3. If there are any [NEEDS-HUMAN] tasks in .memory/todo.md, stop and wait for human intervention.
  4. follow the research guidelines above.
  5. when you are blocked by actions that require human intervention, create a task in .memory/todo.md listing what needs to be done by a human. tag it with [NEEDS-HUMAN] on the task line.
  6. after completing a phase, update .memory/summary.md and prune other files as necessary.
  7. after completing an epic, distill all learnings, update .memory/summary.md, and archive completed tasks/stories.
  8. commit changes with clear messages referencing relevant files.

Human Interaction

  • If you need clarification or additional information, please ask a human for assistance.
  • print a large ascii box in chat indicating that human intervention is needed, and list the tasks from .memory/todo.md inside the box.
  • wait for human to complete the tasks before proceeding.

平台分布

OpenCode

28.29%
按下载量换算110

Claude Code

23.91%
按下载量换算93

Antigravity

15.84%
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Gemini CLI

11.54%
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windsurf

7.2%
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Codex

3.5%
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安全审计

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通过

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可疑

权限和风险

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