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best-practices-learner最佳实践学习者

Agent Skill

best-practices-learner 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。

总安装

447

周安装

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GitHub Stars

9

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157
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

3

许可证

MIT

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:best-practices-learner(最佳实践学习者)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/best-practices-learner
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill best-practices-learner
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/adaptationio/skrillz --skill best-practices-learner

简介

best-practices-learner 从技能开发中提取成功模式并反哺生态。

  • 适用于团队知识管理或跨平台经验复用场景。best-practices-learner 属于开发规范类 Skill,可作为该场景下的辅助能力补充。
  • 系统化追踪实践演进,自动生成更新指南和模板。
  • 操作涉及文件系统读写,需提前确认路径可访问性。
  • 提取的模式需经人工校验,避免错误归因或过度泛化。

SKILL.md

Best Practices Learner

Overview

best-practices-learner systematically extracts learnings from skill development experience and feeds them back into the ecosystem. It transforms individual experiences into documented best practices that improve all future work.

Purpose: Capture and propagate learnings for continuous ecosystem improvement

The 5 Learning Operations:

  1. Extract Patterns - Identify successful patterns from completed skills
  2. Document Learnings - Capture what worked and what didn't
  3. Update Guidelines - Feed learnings into common-patterns.md and templates
  4. Track Evolution - Document how standards and practices evolved
  5. Share Knowledge - Propagate learnings across ecosystem

Key Principle: Every skill built teaches us something - capture those lessons

Continuous Improvement Loop:

Build Skills → Review/Analyze → Extract Learnings →
Update Guidelines → Apply to Future Skills → Build Better Skills → Repeat

When to Use

Use best-practices-learner when:

  1. After Completing Skills - Extract learnings from successful builds
  2. After Reviews - Capture insights from review-multi findings
  3. Pattern Discovery - Document patterns identified through analysis
  4. Process Improvement - Update development process based on experience
  5. Standards Evolution - Document how best practices emerged and changed
  6. Knowledge Capture - Before insights are forgotten, document them
  7. Ecosystem Enhancement - Continuously improve toolkit quality

Operations

Operation 1: Extract Patterns

Purpose: Identify successful patterns from completed skills that should be repeated

When to Use:

  • After completing skill successfully
  • When reviewing multiple skills
  • During retrospectives
  • When patterns emerge

Process:

  1. Review Completed Work

- What worked well in this skill? - What made it easier/faster? - What would you repeat? - What was particularly effective?

  1. Identify Patterns

- Structural patterns (file organization, naming) - Content patterns (section types, documentation styles) - Process patterns (workflow steps, techniques) - Quality patterns (validation approaches, examples)

  1. Validate Pattern

- Is this truly a pattern (recurring, repeatable)? - Does it appear in 2+ instances? - Is it generalizable (not one-off)? - Does it have clear benefit?

  1. Document Pattern

- Pattern name - Description (what it is) - Context (when to use) - Example (concrete instance) - Benefit (why it works)

  1. Categorize Pattern

- Architecture pattern - Documentation pattern - Process pattern - Quality pattern - Integration pattern

Example:

Pattern Extracted: Quick Reference Section

Discovered During: Skills 4-5 (prompt-builder, skill-researcher)

Description: Add Quick Reference section as final section in SKILL.md
with high-density summary tables, commands, cheat sheets

Context: Use in all skills for rapid lookup and memory refresh

Benefit:
- Users can refresh memory without re-reading entire skill
- High-density information (tables, lists)
- Improves user experience
- Easy to find (always last section)

Evidence:
- Skills 4-8 have Quick Reference → received positive implicit feedback
- Skills 1-3 lacked it → identified as improvement in review
- Adding to skills 1-3 brought consistency to 100%

Recommendation: Make Quick Reference mandatory for all future skills

Category: Documentation Pattern

Operation 2: Document Learnings

Purpose: Capture what worked, what didn't, and insights for future improvement

When to Use:

  • End of each skill build
  • After reviews or retrospectives
  • When insights emerge
  • Before forgetting context

Process:

  1. Capture What Worked

- Techniques that were effective - Approaches that saved time - Decisions that paid off - Tools/skills that helped

  1. Document What Didn't Work

- Mistakes made - Approaches that failed - Time wasted on wrong paths - What to avoid next time

  1. Extract Insights

- Why did X work well? - Why did Y fail? - What was the key factor? - What would you do differently?

  1. Quantify Impact (when possible)

- Time saved/lost - Quality improvement - Efficiency gain - Measurable benefits

  1. Make Actionable

- What should we do next time? - What should we stop doing? - What should we start doing? - Specific recommendations

Example:

Learning Documented: High-Quality Prompts Save Implementation Time

Context: Skills 4-9 development

What Worked:
- Investing 1.5-2h in prompt-builder to create detailed prompts
- Prompts with specific validation criteria, examples, constraints
- Targeting ≥4.5/5.0 prompt quality

Impact:
- Implementation 30-40% faster when following high-quality prompts
- Less rework (prompts were accurate first time)
- Clearer direction (no ambiguity)

What Didn't Work (Early Skills):
- Skills 1-3: Informal prompts or no prompts
- Result: More time spent figuring out what to write
- More iterations to get content right

Insight: Time invested in prompts pays 3-5x return in implementation

Quantified:
- 2h prompt investment → 6-10h implementation savings
- ROI: 300-500%

Recommendation: Always use prompt-builder for all future skills
Make this mandatory step in development-workflow

Category: Process Learning

Operation 3: Update Guidelines

Purpose: Feed learnings into common-patterns.md, templates, and development guidelines

When to Use:

  • After extracting patterns (Operation 1)
  • After documenting learnings (Operation 2)
  • When patterns validated (appear in 3+ skills)
  • Periodic updates (after completing multiple skills)

Process:

  1. Identify Update Targets

- common-patterns.md (pattern library) - Templates (skill templates for patterns) - development-workflow (process improvements) - Guidelines in skill-builder-generic

  1. Prepare Updates

- Format patterns for documentation - Create examples - Write clear guidance - Show before/after if helpful

  1. Apply Updates

- Add new patterns to common-patterns.md - Update templates with new patterns - Enhance workflow documentation - Update guidelines

  1. Validate Updates

- Are updates clear and actionable? - Do they improve guidance quality? - Are examples helpful?

  1. Communicate Changes

- Document what changed and why - Note version/date of updates - Explain impact on future work

Example:

Guideline Update: Add Quick Reference Standard

Target: common-patterns.md

Update Content:
Added to "Documentation Patterns" section:

### Pattern: Quick Reference Section

**Description**: Final section in SKILL.md with high-density summary

**Structure**:
- Tables (operations, commands, metrics)
- Checklists (quick validation)
- Formulas (calculations)
- Decision trees (quick guides)

**Benefits**:
- Rapid lookup without re-reading
- Memory refresh
- Improved UX

**Mandatory**: All future skills must include Quick Reference

**Examples**: See skills 4-10 (all have this pattern)

Impact: Future skills will include Quick Reference by default

Version: Updated 2025-11-07 after Skills 1-10 analysis

Operation 4: Track Evolution

Purpose: Document how standards, patterns, and practices evolved over time

When to Use:

  • Significant standard changes (like Quick Reference adoption)
  • After completing milestone (Layer 2, Layer 3, etc.)
  • Periodic review (every 5-10 skills)
  • Before major updates

Process:

  1. Identify Changes

- What standards emerged? - What practices changed? - What was added/removed? - When did changes occur?

  1. Document Evolution

- What was the original state? - What changed and when? - Why did it change? - What triggered the change?

  1. Capture Lessons

- What does this evolution teach us? - Why did standards emerge this way? - What does this mean for future?

  1. Track Metrics

- Quality trends over time - Efficiency trends - Complexity trends - Adoption rates

  1. Create Evolution Log

- Chronological documentation - Change descriptions - Rationale for changes - Impact assessment

Example:

Evolution Tracker: Quick Reference Pattern

Timeline:
- Skills 1-3 (Oct-Nov): No Quick Reference section
- Skill 4 (Nov): First Quick Reference added (prompt-builder)
- Skill 5 (Nov): Pattern repeated (skill-researcher)
- Skills 6-10: All included Quick Reference
- Nov 7: Retroactively added to Skills 1-3 (100% coverage)

Evolution:
Phase 1 (Skills 1-3): No standard for final reference section
Phase 2 (Skills 4-5): Quick Reference emerged organically
Phase 3 (Skills 6-10): Became standard practice
Phase 4 (Retroactive): Applied to early skills for consistency

Trigger: User experience feedback (implicit) - users wanted quick lookup

Impact:
- 100% of skills now have Quick Reference
- Improved user experience
- Standard documented in common-patterns.md
- Mandatory for future skills

Learning: Standards can emerge organically during development,
then be formalized and applied retroactively

Pattern: Emergent standards → Validation through usage →
Formalization → Retroactive application → Universal adoption

Operation 5: Share Knowledge

Purpose: Propagate learnings across ecosystem and to broader community

When to Use:

  • After guidelines updated
  • When significant learnings captured
  • Milestone completions
  • Knowledge worth sharing

Process:

  1. Identify Valuable Knowledge

- What insights are most valuable? - What would help others? - What's novel or non-obvious? - What has evidence of effectiveness?

  1. Format for Sharing

- Document clearly with examples - Provide evidence (metrics, outcomes) - Make actionable - Include context

  1. Share Internally (Ecosystem)

- Update common-patterns.md - Update skill-builder-generic - Update development-workflow documentation - Incorporate into templates

  1. Share Externally (If appropriate)

- Community contributions - Blog posts or articles - GitHub discussions - Pattern sharing

  1. Enable Application

- Make learnings accessible - Provide templates or tools - Document in Quick References - Train on application

Example:

Knowledge Sharing: Bootstrap Strategy Effectiveness

Learning: Building skills in dependency order creates compound efficiency

Evidence:
- Skills 1-6: Each 75-90% faster than baseline
- Total time savings: 159 hours (72% reduction)
- Quality maintained: 100% pass rate (5/5 structure)

Application: Document in development-workflow, skill-builder-generic

Share Internally:
✅ Updated development-workflow/references/workflow-examples.md
✅ Added efficiency progression to common-patterns.md
✅ Documented in BUILD-ROADMAP.md

Share Externally: (If ecosystem open-sourced)
- Pattern: Dependency-ordered skill building
- Evidence: 72% efficiency gain demonstrated
- Recommendation: Build foundational skills first, leverage for later skills

Best Practices

1. Capture Immediately

Practice: Document learnings right after discovering them

Rationale: Context fresh, details remembered, insights clear

Application: End of each skill build, add to learning log

2. Require Evidence

Practice: Support learnings with data and examples

Rationale: Evidence-based > opinion-based

Application: For each learning, note: evidence, metrics, examples

3. Make Actionable

Practice: Every learning should lead to specific action

Rationale: Learnings without application don't improve anything

Application: For each learning: "Therefore, we should [specific action]"

4. Update Guidelines Promptly

Practice: Apply learnings to guidelines quickly (within 1-2 skills)

Rationale: Fresh learnings applied promptly prevent forgetting

Application: After 2-3 instances of pattern, update guidelines

5. Track Evolution Explicitly

Practice: Document how and why standards changed

Rationale: Understanding evolution helps predict future changes

Application: Maintain evolution log in common-patterns or separate doc


Quick Reference

The 5 Learning Operations

OperationFocusOutputWhen
Extract PatternsSuccessful patternsDocumented patternsAfter skills, reviews
Document LearningsWhat worked/didn'tLearning logEnd of each skill
Update GuidelinesFeed into docsUpdated common-patternsAfter 2-3 pattern instances
Track EvolutionHow standards changedEvolution logMilestones, periodic
Share KnowledgePropagate learningsUpdated ecosystem docsAfter updates

Learning Categories

  • Process Learnings: Workflow improvements, efficiency gains
  • Quality Learnings: What produces better quality
  • Pattern Learnings: Recurring successful patterns
  • Tool Learnings: Which tools/skills most valuable
  • Efficiency Learnings: What saves time

Integration with Ecosystem

analysis (identify patterns) →
best-practices-learner (extract and document) →
Update common-patterns.md →
development-workflow (apply in future skills)

best-practices-learner captures and propagates learnings, enabling the ecosystem to improve itself continuously.

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