building-skills
Create, restructure, and validate Claude Code skills following best practices. Handles directory structure, YAML frontmatter, progressive disclosure, credential management, self-learning with consolidation, and script organization. Use when creating new skills, restructuring existing skills, reviewing skills for quality, or asking about skill structure, patterns, or best practices.
What this skill does
# Building Skills
Read [LEARNED.md](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.
| Stage | What loads | Budget | Contains |
|-------|-----------|--------|----------|
| Discovery | `name` + `description` | ~100 tokens | Trigger keywords, when to use |
| Activation | SKILL.md body | <5000 tokens | Instructions, workflows, quick start |
| Execution | references/, scripts/ | As needed | Detailed 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
```yaml
---
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
```bash
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
```markdown
# 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:
```markdown
# 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](#self-learning-template)).
### 6. Add scripts with dependency checking
Scripts must detect missing deps and guide setup, not fail silently:
```python
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
```bash
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
```markdown
**Creating new?** → See [Creation](#creation)
**Editing?** → See [Editing](#editing)
**Debugging?** → See [references/troubleshooting.md](references/troubleshooting.md)
```
### Feedback Loops
```markdown
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](references/patterns.md).
## Anti-Patterns
| Don't | Do |
|-------|-----|
| Trigger info only in body | Put trigger keywords in `description` |
| Credentials in skill files | `~/.claude/settings.json` env vars |
| Scripts in global folder | Scripts inside skill directory |
| SKILL.md >500 lines | Split to references/ |
| Nested references (A→B→C) | One level deep from SKILL.md |
| No LEARNED.md | Every skill must self-learn |
| Unbounded LEARNED.md | Cap 50 lines, consolidate |
| README.md, CHANGELOG.md etc | Skills are for AI, not human docs |
| "You can use..." in description | Third person: "Processes..." |
| Assume deps installed | Check and guide setup on failure |
| Large docs in references/ | Put in assets/ if not needed in context |
## Self-Learning Template
```markdown
## 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 singlRelated in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.