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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;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 61,288。

总安装 353周安装 15GitHub Stars 公开资料未说明下载 124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:workflow-patterns(工作流程模式)
来源仓库:https://github.com/ravinani02/opencode-agent-skills
仓库路径:skills/workflow-patterns
安装命令:
npx skills add ravinani02/opencode-agent-skills --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。

AgentSkills.tonpx skills
npx skills add ravinani02/opencode-agent-skills --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 用于在 Codex、Claude、Cursor、Gemini CLI 中查找和筛选信息。它适合根据关键词或任务场景快速定位候选结果,辅助工作流程相关工作。通过 npx skills add 命令安装,需结合原始 README 继续核验具体用法。

使用前建议确认权限范围和维护状态,避免不必要的联网或文件读写。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/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 ravinani02/opencode-agent-skills --skill "workflow-patterns";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 ravinani02/opencode-agent-skills --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?

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。

workflow-patterns 用的人多吗?

公开数据是累计安装 353 次,近一周安装 15 次,下载 124 次。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?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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

  • 要求有安全扫描结论才肯安装的团队。
  • 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

353—需要联网MIT未收录

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 Conductor's 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 conductor/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

Mobile Compatibility

If applicable:

  • Responsive design verified
  • Touch interactions work
  • Performance acceptable

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

Verification Checkpoints

Why Checkpoints Matter

Checkpoints create restore points for semantic reversion:

  • Revert to end of any phase
  • Maintain logical code state
  • Enable safe experimentation

When to Create Checkpoints

Create checkpoint after:

  • All phase tasks complete
  • All phase verifications pass
  • User approval received

Checkpoint Commit Content

Include in checkpoint commit:

  • All uncommitted changes
  • Updated plan.md
  • Updated metadata.json
  • Any documentation updates

How to Use Checkpoints

For reverting:

# Revert to end of Phase 1
git revert --no-commit <phase-2-commits>...
git commit -m "revert: rollback to phase 1 checkpoint"

For review:

# See what changed in Phase 2
git diff <phase-1-sha>..<phase-2-sha>

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

TDD Variations by Task Type

Data Model Tasks

RED: Write test for model creation and validation
GREEN: Implement model class with fields
REFACTOR: Add computed properties, improve types

API Endpoint Tasks

RED: Write test for request/response contract
GREEN: Implement endpoint handler
REFACTOR: Extract validation, improve error handling

Integration Tasks

RED: Write test for component interaction
GREEN: Wire components together
REFACTOR: Improve error propagation, add logging

Refactoring Tasks

RED: Add characterization tests for current behavior
GREEN: Apply refactoring (tests should stay green)
REFACTOR: Clean up any introduced complexity

Working with Existing Tests

When modifying code with existing tests:

Extend, Don't Replace

  • Keep existing tests passing
  • Add new tests for new behavior
  • Update tests only when requirements change

Test Migration

When refactoring changes test structure:

  1. Run existing tests (should pass)
  2. Add new tests for refactored code
  3. Migrate test cases to new structure
  4. Remove old tests only after new tests pass

Regression Prevention

After any change:

  1. Run full test suite
  2. Check for unexpected failures
  3. Investigate any new failures
  4. Fix regressions before proceeding

Checkpoint Verification Details

Automated Verification

Run before requesting approval:

# Test suite
pytest -v --tb=short

# Coverage
pytest --cov=src --cov-report=term-missing

# Linting
ruff check src/ tests/

# Type checking (if applicable)
mypy src/

Manual Verification Guidance

For manual items, provide specific instructions:

## Manual Verification Steps

### User Registration

1. Navigate to /register
2. Enter valid email: test@example.com
3. Enter password meeting requirements
4. Click Submit
5. Verify success message appears
6. Verify user appears in database

### Error Handling

1. Enter invalid email: "notanemail"
2. Verify error message shows
3. Verify form retains other entered data

Performance Considerations

Test Suite Performance

Keep test suite fast:

  • Use fixtures to avoid redundant setup
  • Mock slow external calls
  • Run subset during development, full suite at checkpoints

Commit Performance

Keep commits atomic:

  • One logical change per commit
  • Complete thought, not work-in-progress
  • Tests should pass after every commit

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

平台分布

OpenCode

29.15%
按下载量换算36

Cursor

22.76%
按下载量换算28

github-copilot

20.38%
按下载量换算25

Claude Code

12%
按下载量换算15

Antigravity

8.78%
按下载量换算11

Gemini CLI

3.36%
按下载量换算4

安全审计

暂无安全审计结果可展示。

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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