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Agent Skill · 研究检索

workflow-patterns(工作流程模式)

workflow-patterns 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。

workflow-patterns 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,权限为需要联网;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 40,194。

总安装 1,317周安装 56GitHub Stars 25下载 461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:workflow-patterns(工作流程模式)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/workflow-patterns
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill workflow-patterns
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/oimiragieo/agent-studio --skill workflow-patterns

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。

workflow-patterns 用于查找、检索和筛选相关信息,支持关键词和任务场景快速定位。适合在 Codex、Claude、Cursor、Gemini CLI 中根据来源线索获取候选结果。可结合来源仓库和原始 README 继续核验具体用法和实现细节。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。

注意区分只读分析与写入变更,避免误操作影响系统稳定性。

来源仓库内路径:skills/workflow-patterns

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/oimiragieo/agent-studio --skill workflow-patte…;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

    它需要需要联网,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

workflow-patterns 怎么安装?

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

workflow-patterns 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。

workflow-patterns 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

workflow-patterns 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。

workflow-patterns 用的人多吗?

公开数据是累计安装 1,317 次,近一周安装 56 次,下载 461 次,GitHub 25 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。

workflow-patterns 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
workflow-patterns

工作流程模式 · 本页

1,31725需要联网未明确通过

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

Workflow Patterns

Guide for implementing tasks using TDD workflow, managing phase checkpoints, handling git commits, and executing the verification protocol that ensures quality throughout implementation.

When to Use This Skill

  • Implementing tasks from a track's plan.md
  • Following TDD red-green-refactor cycle
  • Completing phase checkpoints
  • Managing git commits and notes
  • Understanding quality assurance gates
  • Handling verification protocols
  • Recording progress in plan files

TDD Task Lifecycle

Follow these 11 steps for each task:

Step 1: Select Next Task

Read plan.md and identify the next pending [] task. Select tasks in order within the current phase. Do not skip ahead to later phases.

Step 2: Mark as In Progress

Update plan.md to mark the task as [~]:

- [~] **Task 2.1**: Implement user validation

Commit this status change separately from implementation.

Step 3: RED - Write Failing Tests

Write tests that define the expected behavior before writing implementation:

  • Create test file if needed
  • Write test cases covering happy path
  • Write test cases covering edge cases
  • Write test cases covering error conditions
  • Run tests - they should FAIL

Example:

def test_validate_user_email_valid():
    user = User(email="test@example.com")
    assert user.validate_email() is True

def test_validate_user_email_invalid():
    user = User(email="invalid")
    assert user.validate_email() is False

Step 4: GREEN - Implement Minimum Code

Write the minimum code necessary to make tests pass:

  • Focus on making tests green, not perfection
  • Avoid premature optimization
  • Keep implementation simple
  • Run tests - they should PASS

Step 5: REFACTOR - Improve Clarity

With green tests, improve the code:

  • Extract common patterns
  • Improve naming
  • Remove duplication
  • Simplify logic
  • Run tests after each change - they should remain GREEN

Step 6: Verify Coverage

Check test coverage meets the 80% target:

pytest --cov=module --cov-report=term-missing

If coverage is below 80%:

  • Identify uncovered lines
  • Add tests for missing paths
  • Re-run coverage check

Step 7: Document Deviations

If implementation deviated from plan or introduced new dependencies:

  • Update tech-stack.md with new dependencies
  • Note deviations in plan.md task comments
  • Update spec.md if requirements changed

Step 8: Commit Implementation

Create a focused commit for the task:

git add -A
git commit -m "feat(user): implement email validation

- Add validate_email method to User class
- Handle empty and malformed emails
- Add comprehensive test coverage

Task: 2.1
Track: user-auth_20250115"

Commit message format:

  • Type: feat, fix, refactor, test, docs, chore
  • Scope: affected module or component
  • Summary: imperative, present tense
  • Body: bullet points of changes
  • Footer: task and track references

Step 9: Attach Git Notes

Add rich task summary as git note:

git notes add -m "Task 2.1: Implement user validation

Summary:
- Added email validation using regex pattern
- Handles edge cases: empty, no @, no domain
- Coverage: 94% on validation module

Files changed:
- src/models/user.py (modified)
- tests/test_user.py (modified)

Decisions:
- Used simple regex over email-validator library
- Reason: No external dependency for basic validation"

Step 10: Update Plan with SHA

Update plan.md to mark task complete with commit SHA:

- [x] **Task 2.1**: Implement user validation `abc1234`

Step 11: Commit Plan Update

Commit the plan status update:

git add .claude/context/tracks/*/plan.md
git commit -m "docs: update plan - task 2.1 complete

Track: user-auth_20250115"

Phase Completion Protocol

When all tasks in a phase are complete, execute the verification protocol:

Identify Changed Files

List all files modified since the last checkpoint:

git diff --name-only <last-checkpoint-sha>..HEAD

Ensure Test Coverage

For each modified file:

  1. Identify corresponding test file
  2. Verify tests exist for new/changed code
  3. Run coverage for modified modules
  4. Add tests if coverage < 80%

Run Full Test Suite

Execute complete test suite:

pytest -v --tb=short

All tests must pass before proceeding.

Generate Manual Verification Steps

Create checklist of manual verifications:

## Phase 1 Verification Checklist

- [ ] User can register with valid email
- [ ] Invalid email shows appropriate error
- [ ] Database stores user correctly
- [ ] API returns expected response codes

WAIT for User Approval

Present verification checklist to user:

Phase 1 complete. Please verify:
1. [ ] Test suite passes (automated)
2. [ ] Coverage meets target (automated)
3. [ ] Manual verification items (requires human)

Respond with 'approved' to continue, or note issues.

Do NOT proceed without explicit approval.

Create Checkpoint Commit

After approval, create checkpoint commit:

git add -A
git commit -m "checkpoint: phase 1 complete - user-auth_20250115

Verified:
- All tests passing
- Coverage: 87%
- Manual verification approved

Phase 1 tasks:
- [x] Task 1.1: Setup database schema
- [x] Task 1.2: Implement user model
- [x] Task 1.3: Add validation logic"

Record Checkpoint SHA

Update plan.md checkpoints table:

## Checkpoints

| Phase   | Checkpoint SHA | Date       | Status   |
| ------- | -------------- | ---------- | -------- |
| Phase 1 | def5678        | 2025-01-15 | verified |
| Phase 2 |                |            | pending  |

Quality Assurance Gates

Before marking any task complete, verify these gates:

Passing Tests

  • All existing tests pass
  • New tests pass
  • No test regressions

Coverage >= 80%

  • New code has 80%+ coverage
  • Overall project coverage maintained
  • Critical paths fully covered

Style Compliance

  • Code follows style guides
  • Linting passes
  • Formatting correct

Documentation

  • Public APIs documented
  • Complex logic explained
  • README updated if needed

Type Safety

  • Type hints present (if applicable)
  • Type checker passes
  • No type: ignore without reason

No Linting Errors

  • Zero linter errors
  • Warnings addressed or justified
  • Static analysis clean

Security Audit

  • No secrets in code
  • Input validation present
  • Authentication/authorization correct
  • Dependencies vulnerability-free

Git Integration

Commit Message Format

<type>(<scope>): <subject>

<body>

<footer>

Types:

  • feat: New feature
  • fix: Bug fix
  • refactor: Code change without feature/fix
  • test: Adding tests
  • docs: Documentation
  • chore: Maintenance

Git Notes for Rich Summaries

Attach detailed notes to commits:

git notes add -m "<detailed summary>"

View notes:

git log --show-notes

Benefits:

  • Preserves context without cluttering commit message
  • Enables semantic queries across commits
  • Supports track-based operations

SHA Recording in plan.md

Always record the commit SHA when completing tasks:

- [x] **Task 1.1**: Setup schema `abc1234`
- [x] **Task 1.2**: Add model `def5678`

This enables:

  • Traceability from plan to code
  • Semantic revert operations
  • Progress auditing

Handling Deviations

During implementation, deviations from the plan may occur. Handle them systematically:

Types of Deviations

Scope Addition Discovered requirement not in original spec.

  • Document in spec.md as new requirement
  • Add tasks to plan.md
  • Note addition in task comments

Scope Reduction Feature deemed unnecessary during implementation.

  • Mark tasks as [-] (skipped) with reason
  • Update spec.md scope section
  • Document decision rationale

Technical Deviation Different implementation approach than planned.

  • Note deviation in task completion comment
  • Update tech-stack.md if dependencies changed
  • Document why original approach was unsuitable

Requirement Change Understanding of requirement changes during work.

  • Update spec.md with corrected requirement
  • Adjust plan.md tasks if needed
  • Re-verify acceptance criteria

Deviation Documentation Format

When completing a task with deviation:

- [x] **Task 2.1**: Implement validation `abc1234`
  - DEVIATION: Used library instead of custom code
  - Reason: Better edge case handling
  - Impact: Added email-validator to dependencies

Error Recovery

Failed Tests After GREEN

If tests fail after reaching GREEN:

  1. Do NOT proceed to REFACTOR
  2. Identify which test started failing
  3. Check if refactoring broke something
  4. Revert to last known GREEN state
  5. Re-approach the implementation

Checkpoint Rejection

If user rejects a checkpoint:

  1. Note rejection reason in plan.md
  2. Create tasks to address issues
  3. Complete remediation tasks
  4. Request checkpoint approval again

Blocked by Dependency

If task cannot proceed:

  1. Mark task as [!] with blocker description
  2. Check if other tasks can proceed
  3. Document expected resolution timeline
  4. Consider creating dependency resolution track

Best Practices

  1. Never skip RED: Always write failing tests first
  2. Small commits: One logical change per commit
  3. Immediate updates: Update plan.md right after task completion
  4. Wait for approval: Never skip checkpoint verification
  5. Rich git notes: Include context that helps future understanding
  6. Coverage discipline: Don't accept coverage below target
  7. Quality gates: Check all gates before marking complete
  8. Sequential phases: Complete phases in order
  9. Document deviations: Note any changes from original plan
  10. Clean state: Each commit should leave code in working state
  11. Fast feedback: Run relevant tests frequently during development
  12. Clear blockers: Address blockers promptly, don't work around them

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

平台分布

Codex

34.12%
按下载量换算157

Claude

32.6%
按下载量换算150

Cursor

18.42%
按下载量换算85

Gemini CLI

9.73%
按下载量换算45

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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