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implementation-plan-best-practices实施计划最佳实践

Agent Skill

implementation-plan-best-practices 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:implementation-plan-best-practices(实施计划最佳实践)
来源仓库:https://github.com/validkeys/sherpy
仓库路径:skills/implementation-plan-best-practices
安装命令:
npx skills add https://github.com/validkeys/sherpy --skill implementation-plan-best-practices
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。

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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/validkeys/sherpy --skill implementation-plan-best-practices

简介

implementation-plan-best-practices 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态或协作事项进行整理。

  • 适用于需要查询项目变更、跟踪 Issue 进展或协助 Pull Request 审查的场景。
  • 通过 npx skills add 命令安装,需结合来源 README 核验具体用法。
  • 使用前建议检查是否会触发联网、命令执行或文件读写操作。
  • 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。

SKILL.md

Implementation Plan Best Practices

Proven best practices for creating implementation plans that prevent drift and maintain alignment with project standards.

Core Principle

Models optimize locally; enforce global constraints with layered verification (prompt → IDE → commit → CI → runtime).

1. Style Anchors

  • Always include 2-3 exemplary files as templates in prompts
  • Reference exact paths and line numbers (e.g., src/auth/login.ts:45-78)
  • Prefer concrete repository examples with code + tests + README
  • Example: examples/style-anchor/pkg/greeter/greeter.go (code), greeter_test.go (tests), README.md (docs)
  • Place anchors early in task instructions to prevent architectural drift

Template:

Style Anchors:
- src/auth/login.ts:45-78 (authentication pattern with proper error handling)
- src/auth/login.test.ts:12-34 (test structure for auth flows)
- src/middleware/validation.ts:15-30 (input validation pattern)

2. Task Sizing

  • Target duration: 30-150 minutes (0.5-2.5 hours)
  • File scope: 1-3 files per task (max 5 with justification)
  • Splitting strategy: tests + scaffolding → minimal implementation → refactor & polish
  • Commit after each small task; revert immediately on drift
  • If task <30m, document rationale or split it

Examples:

  • Small: Fix bug in src/utils/parse.ts — 30-60 mins
  • Medium: Add API endpoint src/server/user.ts with tests — 90-150 mins
  • Large: Migrate auth system — Split into design + 3-5 incremental tasks

3. Affirmative Instructions

  • State permitted actions explicitly (e.g., ONLY use: cobra, go-playground/validator, sqlite)
  • Avoid negative framing ("Don't use X" → "ONLY use: Y, Z")
  • Specify exact file scopes: Touch ONLY: src/api/handlers/user.ts, user.test.ts

4. Tiered Rules

  • Global: User prefs (format, language, length)
  • Project: Persistent rules in CLAUDE.md or .cursor/rules/ (loaded every session)
  • Context-aware: Auto-attached rules per directory or file pattern

5. TDD as Anchor

  • Require TDD checklist: tests → minimal code → more tests → refactor
  • When tests fail: "Revise implementation to pass this test while keeping all previously passing tests. Do not modify the test. Do not add dependencies."
  • Include explicit validation commands:
npm test src/auth/login.test.ts
go test ./pkg/auth -v
pytest tests/test_auth.py -v

6. Prompt Positioning

  • Put critical specs, style anchors, and hard rules at the beginning
  • Reiterate them at the end of prompts
  • Avoid burying requirements in the middle

7. Model Strategies

  • Claude: Use for surgical, minimal-diff edits; request research → plan → implement, minimal diff, no renames, explain each edit; use thinking triggers (think, think hard, ultrathink)
  • GPT: Use for exploratory/greenfield work and code review; ask for tactical plans and side-effect checks

8. Self-Consistency & AI-on-AI Review

  • Generate 3+ implementations (higher temperature), then ask model to pick most consistent
  • Use multi-model review (e.g., Claude writes, GPT/Gemini reviews) to catch subtle issues

9. Drift Handling

Stop & revert immediately if:

  • New dependencies introduced (not in allowed list)
  • Files touched outside specified targets (>3 unexpected files)
  • Linting/type errors cannot be resolved within task scope
  • Tests fail and model proposes changing tests instead of implementation

Immediate actions:

  1. Stop the session
  2. Revert to pre-task state (only if changes produced by agent in this session)
  3. Create incident note in docs/drift-incidents/ with:

- What happened - Files changed unexpectedly - New dependencies proposed - Remediation steps

Allowed deviations:

  • Minor formatting (editorconfig)
  • Whitespace-only edits
  • Single-line refactors within scope and type-checked

Recording learnings:

  • Update .cursor/rules/ or CLAUDE.md with new rules after each session
  • Add to style anchors if new pattern discovered

10. Quality Gates

Pre-commit:

  • make lint with zero warnings
  • make test with all tests passing
  • make typecheck with zero errors

CI gates:

  • Count violations (gofmt, lint, typecheck) and fail if threshold exceeded
  • Run tests with race detection (e.g., go test -race)

Per-task validation:

validation:
  commands:
    - npm run lint
    - npm test src/[module].test.ts
    - npm run typecheck
  expected_output: "All tests passing, 0 lint errors"
  failure_handling: "STOP and report. Do not continue to next task."

11. Layered Verification

  1. Prompt level: Explicit constraints, style anchors, task sizing
  2. IDE level: Linting, type checking, auto-formatting
  3. Commit level: Pre-commit hooks, validation scripts
  4. CI level: Quality gates, test suites, coverage thresholds
  5. Runtime level: Input validation, proper error handling, monitoring

12. Key Learnings from Milestone 0

  • Make templates explicit vs concrete: Include all schema-required top-level fields to avoid validation failures
  • Enforce concrete style anchors early: Include 2-3 concrete anchors (code + tests + README) on every planning task
  • Mark inferred edits: Use assumption: true with rationale for any inferred additions
  • Respect task-sizing constraints: Enforce 30-150m task estimates; split shorter tasks with rationale
  • Keep validation inline: Add validation summary with quality_score, issues, and approval
  • Prefer concrete execution snippets: Add explicit validator commands in instructions
  • Scope implementation rules: Keep implementation-only pattern checks scoped with when: implementation_phase
  • Use repository examples as anchors: Small, well-scoped examples are high-leverage anchors

Task Template Example

task:
  id: t-auth-001
  name: "Add login endpoint with JWT validation"
  estimate_minutes: 90

  files:
    touch_only: [src/api/handlers/auth.ts, src/api/handlers/auth.test.ts]
    modify_only: [src/api/routes.ts]

  style_anchors:
    - {path: src/api/handlers/user.ts, lines: 45-78, pattern: "Handler with proper error handling"}
    - {path: src/api/handlers/user.test.ts, lines: 12-45, pattern: "Test structure for API handlers"}

  constraints:
    dependencies:
      only_use: [jsonwebtoken, express-validator]
    file_scope:
      max_files: 3
      stop_if_exceeded: true

  instructions: |
    ## CRITICAL CONSTRAINTS
    - ONLY modify files listed above
    - ONLY use dependencies: jsonwebtoken, express-validator
    - MUST pass: npm test, npm run lint

    ## Style Anchors
    See src/api/handlers/user.ts:45-78 for handler pattern
    See src/api/handlers/user.test.ts:12-45 for test structure

    ## TDD Checklist
    - [ ] Write failing test for POST /auth/login
    - [ ] Implement minimal handler to pass
    - [ ] Add tests for edge cases
    - [ ] Refactor for clarity

    ## Drift Policy
    STOP if: files touched >3, new dependencies, tests fail

    ## Validation
    npm test src/api/handlers/auth.test.ts && npm run lint && npm run typecheck

  validation:
    commands: [npm test src/api/handlers/auth.test.ts, npm run lint, npm run typecheck]
    expected_output: "All tests passing, 0 errors"
    failure_handling: "STOP. Revise implementation to pass tests."

Quick Practical Checklist

When creating implementation plans:

  1. Create CLAUDE.md or .cursor/rules/ with prompt-level rules
  2. Add 2-3 concrete style anchors to prompts (prefer repository examples)
  3. Rescope tasks to 30m-2.5h and commit per task
  4. Convert negative constraints to affirmative instructions
  5. Enforce linting zero-warnings, pre-commit hooks, and CI gates
  6. Require TDD plans and tests before making changes
  7. Use proper error handling for runtime validation
  8. Include all schema-required fields in generated YAML
  9. Mark inferred additions with assumption: true and rationale
  10. Place critical constraints at beginning AND end of prompts

Common Anti-Patterns

Anti-PatternProblemFix
No style anchorsModel introduces inconsistent patternsAdd 2-3 concrete examples with line numbers
Tasks >2.5 hoursDifficult to review, easy to driftSplit into tests + implementation + refactor
Negative framing"Don't use X" is harder to follow"ONLY use: Y, Z"
Buried rulesModel misses important constraintsPut at beginning AND end
No validation commandsUnclear when task is completeInclude explicit lint/test/typecheck commands
Allowing test modificationTests weakened to pass implementation"Revise implementation, not tests"
No drift policySmall drifts compoundExplicit stop criteria and revert process
No commit checkpointsLarge uncommitted changes hard to debugCommit after each task

Integration with Other Skills

  • implementation-planner: Apply these practices when generating plans
  • implementation-plan-review: Validate plans against these practices
  • business-requirements-interview: Ensure requirements align with these practices
  • technical-requirements-interview: Technical specs should follow these practices

Examples

See examples/ directory for:

  • Well-structured task with all best practices applied
  • Before/after examples showing improvements
  • Common mistakes and how to fix them

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