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building-skills培养技能

Agent Skill

building-skills 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。

总安装

238

周安装

10

GitHub Stars

9

下载量

83
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:building-skills(培养技能)
来源仓库:https://github.com/changeflowhq/skills
仓库路径:skills/building-skills
安装命令:
npx skills add https://github.com/changeflowhq/skills --skill building-skills
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/changeflowhq/skills --skill building-skills

简介

该技能管理 Agent 自身能力加载机制,实现渐进式上下文披露与成本控制。

  • 适用于优化 Claude 知识库结构,减少重复信息加载提升推理效率。
  • 采用 Discovery-Activation-Execution 三阶段加载模型,平衡功能与 token 消耗。
  • 安装方式:通过 npx skills add 命令从 GitHub 仓库添加,需遵循 LEARNED.md 规范。
  • building-skills 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Building Skills

Read LEARNED.md before building or reviewing any skill.

Core Principles

1. Context Window is Sacred

Skills share context with system prompt, conversation history, other skills, and the user's request. Only add what Claude doesn't already know.

For every line ask: Does this justify its token cost? If Claude knows it, cut it.

2. Progressive Disclosure

Skills load in three stages. Design for this.

StageWhat loadsBudgetContains
Discoveryname + description~100 tokensTrigger keywords, when to use
ActivationSKILL.md body<5000 tokensInstructions, workflows, quick start
Executionreferences/, scripts/As neededDetailed docs, executable code

Critical: The description field is the trigger mechanism. All "when to use" info goes there, not the body. The body only loads AFTER triggering.

3. Degrees of Freedom

Match instruction specificity to how fragile the task is:

  • High freedom (text guidance): Creative tasks, multiple valid approaches. "Write a blog post following these guidelines."
  • Medium freedom (parameterized scripts): Preferred pattern exists but adapts. "Run the audit script, interpret results."
  • Low freedom (exact scripts, few params): Fragile operations, API calls, deploys. "Run exactly: python scripts/deploy.py --env prod"

4. Self-Learning is Mandatory

Every skill MUST have LEARNED.md with consolidation rules. No exceptions.

Required Structure

skill-name/
├── SKILL.md           # Required. <500 lines. Core instructions.
├── LEARNED.md         # Required. <50 lines. Dated entries + consolidation.
├── scripts/           # Executable code. Runs but never loaded into context.
├── references/        # Detailed docs. Loaded into context on demand (costs tokens).
├── setup/             # Credential templates, setup instructions.
└── assets/            # Files used in output (templates, icons). Never loaded into context.

Key distinction: references/ costs tokens when read. scripts/ and assets/ don't - scripts execute and return output, assets are used in generated files. Put large docs, templates, and data in assets/ not references/.

Frontmatter

---
name: skill-name
description: |
  Third person. WHAT it does + WHEN to use it + trigger keywords.
  This is the primary trigger. Max 1024 chars. No angle brackets.
allowed-tools: Bash Read Write
---

name: kebab-case, max 64 chars, no consecutive/leading/trailing hyphens. Must match directory name.

description: The most important field. Claude reads ALL descriptions to decide which skill to trigger. Front-load trigger conditions. Include keywords users would actually say. Bad: "Manages Google Ads." Good: "Control Google Ads via official API. Create, pause, optimize campaigns, ads, keywords, bids. Run audits. Use when user mentions Google Ads, PPC, AdWords, Quality Score, or ad performance."

allowed-tools: Only tools the skill needs. Common: Bash Read Write Edit.

Allowed keys: name, description, license, allowed-tools, metadata, compatibility. Nothing else.

Creating a New Skill

1. Define trigger examples

Write 3-5 user requests this skill should fire on. These become description keywords and test cases.

2. Scaffold

python3 ~/.claude/skills/building-skills/scripts/init_skill.py my-skill --path ~/.claude/skills

This creates SKILL.md, LEARNED.md, scripts/, references/, setup/, and assets/ with guided TODOs.

3. Write the description FIRST

Before the body. The description determines if the skill ever triggers.

Pattern: [What it does] + [How/via what] + [Specific actions] + [Trigger keywords]

Example: "Local semantic search for markdown knowledge bases using qmd (tobi/qmd). Indexes markdown with BM25 keyword search, vector embeddings, and hybrid reranked queries. Auto-indexes on edits via Claude Code hooks. Use when searching project docs, knowledge bases, meeting notes, or any indexed markdown collection."

4. Write SKILL.md body

# Skill Name

## Quick Start
[Minimal working example - simplest successful use]

## Core Operations
[Brief list. Link to references/ for detail if >100 lines.]

## Workflows
[Checklists for multi-step tasks. Conditional routing for different paths.]

## Error Reference
[Common errors and fixes. Keep actionable, not exhaustive.]

## Self-Learning
[LEARNED.md link + what to record + consolidation rules]

Stay under 500 lines. If approaching 300, start splitting to references/.

5. Add self-learning

Create LEARNED.md:

# skill-name - Learned

<!-- Keep under 50 lines. Consolidate before adding. -->

## [Category]

- (YYYY-MM-DD) Observation here

Add Self-Learning section to SKILL.md (see template below).

6. Add scripts with dependency checking

Scripts must detect missing deps and guide setup, not fail silently:

import os, sys
required = ['MY_API_KEY']
missing = [v for v in required if not os.environ.get(v)]
if missing:
    print(f"Missing: {', '.join(missing)}")
    print("Add to ~/.claude/settings.json under \"env\"")
    sys.exit(1)

7. Validate

python3 ~/.claude/skills/building-skills/scripts/validate_skill.py ~/.claude/skills/my-skill

Fix errors, address warnings, re-run until clean.

Restructuring an Existing Skill

  1. Audit: SKILL.md line count (<500?), scripts inside skill?, credentials via env vars?, frontmatter valid?, LEARNED.md exists?, description has trigger keywords?
  2. Split: Core instructions → SKILL.md. Detailed docs → references/. Code → scripts/. Config → setup/. Output files → assets/.
  3. Fix description: Is it the trigger mechanism? Does it front-load keywords? Third person?
  4. Add self-learning: LEARNED.md + consolidation section.
  5. Validate: Run validate_skill.py.

Patterns

Credentials

~/.claude/settings.json env vars. Never hardcode. Scripts detect and print setup instructions. Document in setup/README.md.

Workflow Checklists

Multi-step tasks get numbered, copy-able checklists with explicit steps.

Conditional Routing

**Creating new?** → See [Creation](#creation)
**Editing?** → See [Editing](#editing)
**Debugging?** → See [references/troubleshooting.md](references/troubleshooting.md)

Feedback Loops

1. Make changes → 2. Run validator → 3. If errors, fix and go to 2

Output Templates

Strict format: provide exact template in assets/. Flexible format: show examples.

Hook Integration

Skills can hook into Claude Code (PreToolUse/PostToolUse) for system-level behavior like auto-indexing or domain blocking. Document in hooks/ subdirectory.

For detailed pattern examples, see references/patterns.md.

Anti-Patterns

Don'tDo
Trigger info only in bodyPut trigger keywords in description
Credentials in skill files~/.claude/settings.json env vars
Scripts in global folderScripts inside skill directory
SKILL.md >500 linesSplit to references/
Nested references (A→B→C)One level deep from SKILL.md
No LEARNED.mdEvery skill must self-learn
Unbounded LEARNED.mdCap 50 lines, consolidate
README.md, CHANGELOG.md etcSkills are for AI, not human docs
"You can use..." in descriptionThird person: "Processes..."
Assume deps installedCheck and guide setup on failure
Large docs in references/Put in assets/ if not needed in context

Self-Learning Template

## Self-Learning

Read [LEARNED.md](LEARNED.md) before using this skill.

**Update LEARNED.md when you discover:** [list skill-specific things to record]

**Consolidation (keep under 50 lines):**
Before adding a new entry, check file length. If over 50 lines:
1. Merge duplicate/overlapping entries into single proven patterns
2. Remove entries older than 3 months that haven't been reinforced
3. Drop one-off observations that never recurred
4. Move detailed context to `LEARNED-archive.md` if worth preserving
5. Keep only entries that would change behavior - if obvious, cut it

Self-Learning

Read LEARNED.md before building or reviewing any skill.

Update LEARNED.md when you discover:

  • Patterns that worked well in production skills
  • Description wording that improved or hurt triggering
  • Common mistakes when building skills
  • Validation gaps (things the validator should catch)
  • Structure decisions that helped or hurt

Consolidation (keep under 50 lines): Before adding, check length. If over 50: merge duplicates, prune stale (>3mo unreinforced), drop one-offs, archive to LEARNED-archive.md.

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.05%
按下载量换算28

Claude

31.38%
按下载量换算26

Cursor

20.74%
按下载量换算17

Gemini CLI

9.14%
按下载量换算8

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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