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Agent Skill · 研究检索

aif-implement(aif 实施)

aif-implement 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。

aif-implement 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,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 46,227。

总安装 792周安装 34GitHub Stars 535下载 277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
unknown

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:aif-implement(aif 实施)
来源仓库:https://github.com/lee-to/ai-factory
仓库路径:skills/aif-implement
安装命令:
npx skills add https://github.com/lee-to/ai-factory --skill aif-implement
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lee-to/ai-factory --skill aif-implement

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。

aif-implement 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。它支持任务计划执行、进度跟踪和会话延续,可结合配置文件和用户反馈优化操作流程。

安装命令为 npx skills add https://github.com/lee-to/ai-factory --skill aif-implement,需确认权限范围和维护状态。使用前建议检查是否会触发联网、命令执行或文件读写,并参考原始 README 核验具体用法。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/aif-implement

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/lee-to/ai-factory --skill aif-implement;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

aif-implement 怎么安装?

在终端执行 npx skills add https://github.com/lee-to/ai-factory --skill aif-implement。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

aif-implement 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。

aif-implement 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

aif-implement 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

aif-implement 用的人多吗?

公开数据是累计安装 792 次,近一周安装 34 次,下载 277 次,GitHub 535 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。

aif-implement 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
aif-implement

aif 实施 · 本页

792535调用外部服务未明确通过

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

Implement - Execute Task Plan

Execute tasks from the plan, track progress, and enable session continuation.

Workflow

Step 0 (pre): Detect Handoff Mode

Determine Handoff mode. If the caller passed HANDOFF_MODE and HANDOFF_SKIP_REVIEW as explicit text in the prompt, use those values. Otherwise, use the Bash tool:

Bash: printenv HANDOFF_MODE || true
Bash: printenv HANDOFF_SKIP_REVIEW || true

Then check HANDOFF_MODE:

When HANDOFF_MODE is 1 (autonomous Handoff agent)

The Handoff coordinator already manages status transitions and DB writes directly. Do NOT call MCP tools. Instead:

  • No interactive questions: Do not use AskUserQuestion — use sensible defaults (auto-commit at checkpoints, skip pause prompts).
  • No pause/resume prompts: Execute all tasks sequentially without stopping.
When HANDOFF_MODE is NOT 1 (manual Claude Code session)

Handoff sync is handled inline — see Step 0.2 (after reading the plan file) for the task ID extraction and MCP sync trigger. The sync points are:

  • On start (Step 0.2): handoff_sync_status → "implementing" (with paused: true)
  • On checklist update (Step 3.6): handoff_push_plan with updated plan content
  • On completion (Step 5): handoff_push_plan with final plan, then handoff_sync_status → "review" (with paused: true) or "done" (with paused: false when HANDOFF_SKIP_REVIEW=1)

CRITICAL: Always pass paused: true with every handoff_sync_status call except done. This prevents the autonomous Handoff agent from picking up the task while you work manually. Only done passes paused: false.

Step 0: Check Current State

FIRST: Determine what state we're in:

1. Read `.ai-factory/config.yaml` if it exists to resolve:
   - `paths.description`, `paths.architecture`, `paths.rules_file`, `paths.roadmap`, `paths.research`
   - `paths.plan`, `paths.plans`, `paths.fix_plan`, `paths.patches`
   - `paths.rules`
   - `language.ui`, `language.artifacts`
   - `git.enabled`, `git.base_branch`, `git.create_branches`
   - `rules.base` plus any named `rules.<area>` entries
2. Parse arguments:
   - --list → list available plans only (no implementation; STOP)
   - @<path> → explicit plan file override (highest priority)
   - <number> → start from specific task
   - status → status-only mode
3. If `git.enabled = true`, check for uncommitted changes (`git status`)
4. If `git.enabled = true`, check current branch

Step 0.list: List Available Plans (--list)

If $ARGUMENTS contains --list, run read-only plan discovery and stop.

1. Get current branch:
   git branch --show-current (git mode only)
2. Convert branch to filename: replace "/" with "-", add ".md" (git mode only)
3. Check existence of:
   - <configured plans dir>/<branch-name>.md (git mode only)
   - if git mode is off or branch creation is disabled: any `*.md` full-mode plan in `<configured plans dir>/`
   - <resolved fast plan path>
   - <resolved fix plan path>
4. Print plan availability summary and usage hints
5. STOP.

Important: In --list mode:

  • Do not execute tasks
  • Do not modify files
  • Do not update TaskList statuses

For detailed output format and examples, see:

  • skills/aif-implement/references/IMPLEMENTATION-GUIDE.md → "List Available Plans (--list)"

Step 0.0: Resume / Recovery (after a break or after /clear)

If the user is resuming the next day, says the session was abandoned, or you suspect context was lost (e.g. after /clear), rebuild local context from the repo before continuing tasks:

If git.enabled = true:

1. git status
2. git branch --show-current
3. git log --oneline --decorate -20
4. (optional) git diff --stat
5. (optional) git stash list

If git.enabled = false, skip git recovery commands and reconcile only from the resolved plan/fix-plan paths plus the working tree state.

Then reconcile plan/task state:

  • Ensure the current plan file matches the current branch when git branch plans are in use (@plan-file override wins; otherwise branch-named plan takes priority over the resolved fast plan).
  • If git.enabled = false or full plans were created without a branch, prefer:

- explicit @plan-file, - then the only *.md file in the configured plans dir, - then the resolved fast plan path.

  • Compare TaskList statuses vs plan checkboxes.

- If code changes for a task appear already implemented but the task is not marked completed, verify quickly and then TaskUpdate(..., status: "completed") and update the plan checkbox. - If a task is marked completed but the corresponding code is missing (rebase/reset happened), mark it back to pending and discuss with the user.

If uncommitted changes exist:

AskUserQuestion: You have uncommitted changes. Commit them first?

Options:
1. Yes, commit now (/aif-commit)
2. No, stash and continue
3. Cancel

Based on choice:

  • Yes → run /aif-commit, then continue to plan discovery
  • No → git stash push -m "aif-implement: stash before plan execution", then continue
  • Cancel → inform the user: "Implementation cancelled." → STOP

If NO plan file exists but the resolved fix plan exists:

A fix plan was created by /aif-fix in plan mode. Redirect to fix workflow:

Found a fix plan at the resolved fix plan path.

This plan was created by /aif-fix and should be executed through the fix workflow
(it creates a patch and handles cleanup automatically).

Running /aif-fix to execute the plan...

→ Invoke /aif-fix (without arguments – it will detect the resolved fix plan and execute it). → STOP — do not continue with implement workflow.

If NO plan file exists AND no resolved fix plan (all tasks completed or fresh start):

AskUserQuestion: No active plan found. Current branch: <current-branch>.
What would you like to do?

Options:
1. Start new feature from current branch
2. Return to configured base branch and start new feature
3. Create quick task plan (no branch)
4. Nothing, just checking status

Based on choice:

  • New feature from current → /aif-plan full <description>
  • Return to base branch → git checkout <configured-base-branch>, then git pull origin <configured-base-branch> → /aif-plan full <description> (git mode only)
  • Quick task → /aif-plan fast <description>
  • Nothing, just checking status → display branch info and recent commits summary → STOP

If git.enabled = false, replace option 2 with:

  • 2. Create rich full plan without branch creation
  • Route it to /aif-plan full <description> without any git commands

If plan file exists → continue to Step 0.1

Step 0.1: Load Project Context & Past Experience

Use the resolved config from Step 0:

  • Paths: description, architecture, RULES.md, roadmap, research, plan files, patches, and rules dir
  • Language: language.ui for prompts, language.artifacts for generated content
  • Rules hierarchy: the resolved RULES.md file + rules.base + named rules.<area> entries

Read .ai-factory/DESCRIPTION.md (use path from config) if it exists to understand:

  • Tech stack (language, framework, database, ORM)
  • Project architecture and conventions
  • Non-functional requirements

Read the resolved architecture artifact if it exists (paths.architecture, default: .ai-factory/ARCHITECTURE.md) to understand:

  • Chosen architecture pattern and folder structure
  • Dependency rules (what depends on what)
  • Layer/module boundaries and communication patterns
  • Follow these conventions when implementing — file placement, imports, module boundaries

Read the resolved RULES.md path if it exists:

  • These are project-specific rules and conventions added by the user
  • ALWAYS follow these rules when implementing — they override general patterns
  • Rules are short, actionable — treat each as a hard requirement

Read rules hierarchy (paths from config):

  1. RULES.md – axioms (universal project rules)
  2. rules/base.md — project-specific base conventions (naming, structure, patterns)
  3. rules. — area-specific rule entries resolved from config (for example rules.api, rules.frontend)

Load all available rule files and merge them. More specific rules override general ones.

Read .ai-factory/skill-context/aif-implement/SKILL.md — MANDATORY if the file exists.

This file contains project-specific rules accumulated by /aif-evolve from patches, codebase conventions, and tech-stack analysis. These rules are tailored to the current project.

How to apply skill-context rules:

  • Treat them as project-level overrides for this skill's general instructions
  • When a skill-context rule conflicts with a general rule written in this SKILL.md, the skill-context rule wins (more specific context takes priority — same principle as nested CLAUDE.md files)
  • When there is no conflict, apply both: general rules from SKILL.md + project rules from skill-context
  • Do NOT ignore skill-context rules even if they seem to contradict this skill's defaults — they exist because the project's experience proved the default insufficient
  • CRITICAL: skill-context rules apply to ALL outputs of this skill — including the code you write and how you update plan checkboxes. If a skill-context rule says "code MUST follow X" or "implementation MUST include Y" — you MUST comply. Writing code that violates skill-context rules is a bug.

Enforcement: After generating any output artifact, verify it against all skill-context rules. If any rule is violated — fix the output before presenting it to the user.

Patch fallback (limited, only when skill-context is missing):

  • If .ai-factory/skill-context/aif-implement/SKILL.md does not exist and the resolved patches dir exists:

- Use Glob to find *.md files in the resolved patches dir - Sort patch filenames ascending (lexical), then select the last 10 (or fewer if less exist) - Read those selected patch files only - Prioritize Root Cause and Prevention sections

  • If skill-context exists, do not read all patches by default.

- Optionally read a few targeted recent patches only when a task clearly matches a known failure pattern.

Use this context when implementing:

  • Follow the specified tech stack
  • Use correct import patterns and conventions
  • Apply proper error handling and logging as specified
  • Avoid pitfalls documented in skill-context rules and relevant fallback patches

Step 0.2: Find Plan File

If $ARGUMENTS contains @<path>:

Use this explicit plan file and skip automatic plan discovery.

1. Extract path after "@"
2. Resolve relative to project root (absolute paths are also valid)
3. If file does not exist:
   "Plan file not found: <path>
    Provide an existing markdown plan file, for example:
    - /aif-implement @<resolved fast plan path>
    - /aif-implement @.ai-factory/plans/feature-user-auth.md"
   → STOP
4. If file is the resolved fix plan path:
   → invoke /aif-fix (ownership + cleanup workflow) and STOP
5. Otherwise use this file as the active plan

Then continue with normal execution using the selected plan file.

If no @<path> override is provided, check plan files in this order:

Check for plan files in this order:

1. Check current git branch:
   git branch --show-current
   → Convert branch name to filename: replace "/" with "-", add ".md"
   → Look for <configured plans dir>/<branch-name>.md
2. If git mode is off or branch-based plan is missing:
   - Check whether the configured plans dir contains exactly one `*.md` plan file created by `/aif-plan full` without a branch
   - If exactly one exists → use it
   - If multiple exist → ask the user to choose or use `@<path>`
3. No full-mode plan → Check the resolved fast plan path
4. No full-mode plan and no resolved fast plan → Check the resolved fix plan path
   → If exists: invoke /aif-fix (handles its own workflow with patches) and STOP

Priority:

  1. @<path> argument - explicit user-selected plan file
  2. Branch-named file (from /aif-plan full) - if it matches current branch
  3. Single named full-plan file in paths.plans (from /aif-plan full without branch creation)
  4. paths.plan (from /aif-plan fast) - fallback when no full plan exists
  5. paths.fix_plan - redirect to /aif-fix (from /aif-fix plan mode)

Read the plan file to understand:

  • Context and settings (testing, logging preferences)
  • Commit checkpoints (when to commit)
  • Task dependencies
  • Task checklist format (- [] / - [x]) to keep progress synced

Immediately after reading the plan file, check the first line for <!-- handoff:task:<uuid> -->:

  • If found AND HANDOFF_MODE is NOT 1 (manual session): extract the task ID. This is the Handoff task ID for MCP sync throughout this session. Call handoff_sync_status with {taskId: <extracted-id>, newStatus: "implementing", sourceTimestamp: "<current UTC time in ISO 8601 format, e.g. 2026-04-02T18:30:45.000Z>", direction: "aif_to_handoff", paused: true}. The timestamp must reflect the actual current time, not midnight or an approximation.
  • If found AND HANDOFF_MODE is 1: the Handoff coordinator handles sync — do nothing.
  • If NOT found: no linked Handoff task — skip all MCP sync for the rest of this session.

Step 1: Load Current State

TaskList → Get all tasks with status

Find:

  • Next pending task (not blocked, not completed)
  • Any in_progress tasks (resume these first)

Step 2: Display Progress

## Implementation Progress

✅ Completed: 3/8 tasks
🔄 In Progress: Task #4 - Implement search service
⏳ Pending: 4 tasks

Current task: #4 - Implement search service

Step 3: Execute Current Task

For each task:

3.1: Fetch full details

TaskGet(taskId) → Get description, files, context

3.2: Mark as in_progress

TaskUpdate(taskId, status: "in_progress")

3.3: Implement the task

  • Read relevant files
  • Make necessary changes
  • Follow existing code patterns
  • NO tests unless plan includes test tasks
  • NO reports or summaries

3.4: Verify implementation

  • Check code compiles/runs
  • Verify functionality works
  • Fix any immediate issues

3.5: Mark as completed

TaskUpdate(taskId, status: "completed")

3.6: Update checkbox in plan file

IMMEDIATELY after completing a task, update the checkbox in the plan file:

# Before

- [ ] Task 1: Create user model

# After

- [x] Task 1: Create user model

This is MANDATORY — checkboxes must reflect actual progress:

  • Use Edit tool to change - [] to - [x]
  • Do this RIGHT AFTER each task completion
  • Even if deletion will be offered later
  • Plan file is the source of truth for progress

Handoff sync (manual mode ONLY — skip when HANDOFF_MODE is 1): If a Handoff task ID was extracted in Step 0.2, call handoff_push_plan with {taskId: <id>, planContent: <full updated plan text>} to sync the checklist progress.

3.7: Update the resolved description artifact if needed

If during implementation:

  • New dependency/library was added
  • Tech stack changed (e.g., added Redis, switched ORM)
  • New integration added (e.g., Stripe, SendGrid)
  • Architecture decision was made

→ Update the resolved description artifact (paths.description, default: .ai-factory/DESCRIPTION.md) to reflect the change:

## Tech Stack

- **Cache:** Redis (added for session storage)

This keeps the resolved description artifact as the source of truth.

3.7.1: Update AGENTS.md and ARCHITECTURE.md if project structure changed

If during implementation:

  • New directories or modules were created
  • Project structure changed significantly (new src/modules/, new API routes directory, etc.)
  • New entry points or key files were added

→ Update AGENTS.md — refresh the "Project Structure" tree and "Key Entry Points" table to reflect new directories/files.

→ Update the resolved architecture artifact — if new modules or layers were added that should be documented in the folder structure section.

Only update if structure actually changed — don't rewrite on every task. Check if new directories were created that aren't in the current structure map.

3.8: Check for commit checkpoint

If the plan has commit checkpoints and current task is at a checkpoint:

AskUserQuestion: ✅ Tasks <first>-<last> completed. This is a commit checkpoint. Ready to commit? Suggested message: "<conventional commit message>"

Options:
1. Yes, commit now (/aif-commit)
2. No, continue to next task
3. Skip all commit checkpoints

Based on choice:

  • Yes, commit now → invoke /aif-commit with the suggested message, then continue to next task
  • No, continue to next task → proceed to the next task without committing
  • Skip all commit checkpoints → for all subsequent checkpoints within this /aif-implement run, skip the prompt automatically and proceed directly to the next task (as if user selected "No, continue to next task" each time). This is in-context memory — resets on /clear or new session

3.9: Move to next task or pause

Step 4: Session Persistence

Progress is automatically saved via TaskUpdate.

To pause:

Current progress saved.

Completed: 4/8 tasks
Next task: #5 - Add pagination support

To resume later, run:
/aif-implement

To resume (next session):

/aif-implement

→ Automatically finds next incomplete task

Step 5: Completion

Handoff sync (manual mode ONLY — skip entirely when HANDOFF_MODE is 1): If a Handoff task ID was extracted from the plan annotation AND HANDOFF_MODE is NOT 1:

  1. Call handoff_push_plan with {taskId: <id>, planContent: <final updated plan text>}.
  2. If HANDOFF_SKIP_REVIEW is 1: call handoff_sync_status with {taskId: <id>, newStatus: "done", sourceTimestamp: "<current UTC time in ISO 8601 format>", direction: "aif_to_handoff", paused: false}.
  3. Otherwise: call handoff_sync_status with {taskId: <id>, newStatus: "review", sourceTimestamp: "<current UTC time in ISO 8601 format>", direction: "aif_to_handoff", paused: true}.

When all tasks are done:

## Implementation Complete

All 8 tasks completed.

Branch: feature/product-search
Plan file: .ai-factory/plans/feature-product-search.md
Files modified:
- src/services/search.ts (created)
- src/api/products/search.ts (created)
- src/types/search.ts (created)
Documentation: updated existing docs | created docs/<feature-slug>.md | skipped by user | warn-only (Docs: no/unset)

What's next?

1. 🔍 /aif-verify — Verify nothing was missed (recommended)
2. 💾 /aif-commit — Commit the changes directly

Check ROADMAP.md progress:

If the resolved roadmap artifact exists:

  1. Read it 1.1. If the plan file includes ## Roadmap Linkage with a non-none milestone, prefer that milestone for completion marking
  2. Check if the completed work corresponds to any unchecked milestone
  3. If yes — mark it [x] and add entry to the Completed table with today's date
  4. Tell the user which milestone was marked done

Context Maintenance (Artifacts)

Only do this step when there is something concrete to capture.

DESCRIPTION.md (allowed in this command):

  • If this plan introduced new dependencies/integrations or changed the stack, update the resolved description artifact with factual deltas only.
  • Do not rewrite unrelated sections.

ARCHITECTURE.md + AGENTS.md (allowed in this command):

  • If new modules/layers/folders were added (or dependency rules changed), update the resolved architecture artifact to reflect the new structure and constraints.
  • If you maintain AGENTS.md structure maps or entry points, refresh them only when they are now incorrect.

ROADMAP.md (allowed, limited):

  • This command may mark milestone completion when evidence is clear.
  • If milestone mapping is ambiguous, emit WARN [roadmap]... and suggest the owner command:

- /aif-roadmap check - or /aif-roadmap <short update request>

RULES.md (NOT allowed in this command):

  • Never edit the resolved paths.rules_file artifact from /aif-implement.
  • If you discovered repeatable conventions/pitfalls during implementation, propose up to 3 candidate rules and ask the user to add them via /aif-rules.
  • Do not invoke /aif-rules automatically (it is user-invoked).

If candidate rules exist:

AskUserQuestion: Capture new project rules in the resolved RULES.md artifact?

Options:
1. Yes — output `/aif-rules ...` commands (recommended)
2. No — skip

Documentation policy checkpoint (after completion, before plan cleanup):

Read the plan file setting Docs: yes/no.

If plan setting is Docs: yes:

AskUserQuestion: Documentation checkpoint — how should we document this feature?

Options:
1. Update existing docs (recommended) — invoke /aif-docs
2. Create a new feature doc page — invoke /aif-docs with feature-page context
3. Skip documentation

Handling:

  • Option 1 → invoke /aif-docs to update README/docs based on completed work
  • Option 2 → invoke /aif-docs with context to create docs/<feature-slug>.md, include sections (Summary, Usage/user-facing behavior, Configuration, API/CLI changes, Examples, Troubleshooting, See Also), and add a README docs-table link
  • Option 3 → do not invoke /aif-docs; emit WARN [docs] Documentation skipped by user

If plan setting is Docs: no or setting is unset:

  • Do not show a mandatory docs checkpoint prompt
  • Do not invoke /aif-docs automatically
  • Emit WARN [docs] Docs policy is no/unset; skipping documentation checkpoint

Always include documentation outcome in the final completion output:

  • Documentation: updated existing docs
  • Documentation: created docs/<feature-slug>.md
  • Documentation: skipped by user
  • Documentation: warn-only (Docs: no/unset)

Handle plan file after completion:

  • If the resolved fast plan path (from /aif-plan fast): AskUserQuestion: Would you like to delete the resolved fast plan file? (It's no longer needed) Options: 1. Yes, delete it 2. No, keep it Based on choice:

- "Yes, delete it" → delete the file: rm <resolved fast plan path> - "No, keep it" → leave the file as is, continue to the next step

  • If branch-named file (e.g., <configured plans dir>/feature-user-auth.md):

- Keep it - documents what was done - User can delete before merging if desired

Check if running in a git worktree:

Detect worktree context:

# If .git is a file (not a directory), we're in a worktree
[ -f .git ]

If we ARE in a worktree, offer to merge back and clean up:

You're working in a parallel worktree.

  Branch:    <current-branch>
  Worktree:  <current-directory>
  Main repo: <main-repo-path>

AskUserQuestion: Would you like to merge this branch into the configured base branch and clean up?

Options:
1. Yes, merge and clean up (recommended)
2. No, I'll handle it manually

Based on choice:

  • "Yes, merge and clean up" → follow the Worktree Merge procedure below
  • "No, I'll handle it manually" → show a reminder: To merge and clean up later: cd <main-repo-path> git merge <branch> /aif-plan --cleanup <branch>
Worktree Merge
  1. Ensure everything is committed — check git status. If uncommitted changes exist, suggest /aif-commit first and wait.
  2. Get repository root path: MAIN_REPO=$(git rev-parse --git-common-dir | sed 's|/\.git$||') BRANCH=$(git branch --show-current)
  3. Switch to the repository root: cd "${MAIN_REPO}"
  4. Merge the branch: git checkout <configured-base-branch> git pull origin <configured-base-branch> git merge "${BRANCH}" If merge conflict occurs: ⚠️ Merge conflict detected. Resolve manually: cd <main-repo-path> git merge --abort # to cancel # or resolve conflicts and git commit → STOP here, do not proceed with cleanup.
  5. Remove worktree and branch (only if merge succeeded): git worktree remove <worktree-path> git branch -d "${BRANCH}"
  6. Confirm: ✅ Merged and cleaned up! Branch <branch> merged into <configured-base-branch>. Worktree removed. You're now in: <main-repo-path> (<configured-base-branch>)

→ STOP — worktree merged and removed, no further steps needed.

Final Step — Verify or Commit

AskUserQuestion: All tasks complete. What's next?

Options:
1. Verify first — Run /aif-verify to check completeness (recommended)
2. Skip to commit — Go straight to /aif-commit

Based on choice:

  • "Verify first" → invoke /aif-verify → after it completes, continue to context cleanup below
  • "Skip to commit" → invoke /aif-commit → after it completes, continue to context cleanup below

Context cleanup (after verify or commit):

Suggest the user to free up context space if needed: /clear (full reset) or /compact (compress history).

IMPORTANT: NO summary reports, NO analysis documents, NO wrap-up tasks.

Commands

Start/Resume Implementation

/aif-implement

Continues from next incomplete task.

List Available Plans

/aif-implement --list

Lists the resolved fast plan path, resolved fix plan path, and current-branch <configured plans dir>/<branch>.md (if present), then exits without implementation.

Use Explicit Plan File

/aif-implement @my-custom-plan.md
/aif-implement @.ai-factory/plans/feature-user-auth.md status

Uses the provided plan file instead of auto-detecting by branch/default files.

Start from Specific Task

/aif-implement 5

Starts from task #5 (useful for skipping or re-doing).

Check Status Only

/aif-implement status

Shows progress without executing.

Execution Rules

DO:

  • ✅ Execute one task at a time
  • ✅ Mark tasks in_progress before starting
  • ✅ Mark tasks completed after finishing
  • ✅ Follow existing code conventions
  • ✅ Follow /aif-best-practices guidelines (naming, structure, error handling)
  • ✅ Create files mentioned in task description
  • ✅ Handle edge cases mentioned in task
  • ✅ Stop and ask if task is unclear

DON'T:

  • ❌ Write tests (unless explicitly in task list)
  • ❌ Create report files
  • ❌ Create summary documents
  • ❌ Add tasks not in the plan
  • ❌ Skip tasks without user permission
  • ❌ Mark incomplete tasks as done
  • ❌ Violate the resolved architecture artifact conventions for file placement and module boundaries

Artifact Ownership Boundaries

  • Primary ownership in this command: task execution state and plan progress checkboxes.
  • Allowed context artifact updates: the resolved description artifact, the resolved architecture artifact, and roadmap milestone completion in the resolved roadmap artifact when implementation evidence justifies it.
  • Read-only context in this command by default: the resolved paths.rules_file and paths.research artifacts.
  • Context-gate findings should be communicated as WARN/ERROR outputs only; this does not replace the required verbose implementation logging rules below.

For progress display format, blocker handling, session continuity examples, and full flow examples → see references/IMPLEMENTATION-GUIDE.md

Critical Rules

  1. NEVER write tests unless task list explicitly includes test tasks
  2. NEVER create reports or summary documents after completion
  3. ALWAYS mark task in_progress before starting work
  4. ALWAYS mark task completed after finishing
  5. ALWAYS update checkbox in plan file - - [] → - [x] immediately after task completion
  6. PRESERVE progress - tasks survive session boundaries
  7. ONE task at a time - focus on current task only

CRITICAL: Logging Requirements

ALWAYS add verbose logging when implementing code. For logging guidelines, patterns, and management requirements → read references/LOGGING-GUIDE.md

Key rules: log function entry/exit, state changes, external calls, error context. Use structured logging, configurable log levels (LOG_LEVEL env var).

DO NOT skip logging to "keep code clean" - verbose logging is REQUIRED during implementation, but MUST be configurable.

平台分布

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36.27%
按下载量换算100

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29.79%
按下载量换算83

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16.14%
按下载量换算45

Gemini CLI

9.36%
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安全审计

Gen Agent Trust Hub

通过

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通过

Snyk

通过

权限和风险

调用外部服务

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