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Agent Skill · 研究检索

building-skills(培养技能)

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。

building-skills 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 68,015。

总安装 238周安装 10GitHub Stars 9下载 83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: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

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。

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。

来源仓库内路径:skills/building-skills

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/changeflowhq/skills --skill building-skills;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

building-skills 怎么安装?

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

building-skills 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。

building-skills 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。

building-skills 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。

building-skills 用的人多吗?

公开数据是累计安装 238 次,近一周安装 10 次,下载 83 次,GitHub 9 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。

building-skills 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
building-skills

培养技能 · 本页

2389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

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

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。目前只有一个公开来源,建议同时核对源仓库。

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