Install
openclaw skills install skills-best-practicesskills-best-practices
Build high-quality Agent Skills for Claude following official Anthropic best practices. Covers SKILL.md structure, frontmatter, description writing, progressive disclosure, testing, patterns, troubleshooting, and distribution across all surfaces (Claude.ai, Claude Code, API, Agent SDK). Use when creating new skills, reviewing skill quality, debugging skill triggering, structuring skill directories, writing skill descriptions, or improving existing skills. Triggers on "build a skill", "create a skill", "skill structure", "SKILL.md", "skill best practices", "skill not triggering", "skill quality".
Skills Best Practices
Comprehensive reference for building Agent Skills that follow Anthropic's official guidelines. Skills are folders containing instructions, scripts, and resources that teach Claude how to handle specific tasks. They follow the Agent Skills open standard.
Quick Start
A minimal skill is a directory with a SKILL.md file:
my-skill/
├── SKILL.md # Required - instructions with YAML frontmatter
├── references/ # Optional - detailed docs loaded on demand
├── scripts/ # Optional - executable code
└── assets/ # Optional - templates, fonts, icons
Minimal SKILL.md:
---
name: my-skill-name
description: What it does. Use when [specific triggers].
---
# My Skill Name
[Instructions here]
Only name and description are required in frontmatter.
Core Design Principles
Progressive Disclosure (Most Important)
Skills load information in three levels to minimize token usage:
| Level | When Loaded | Token Cost | Content |
|---|---|---|---|
| 1: Metadata | Always (startup) | ~100 tokens | name + description from frontmatter |
| 2: Instructions | When skill triggers | <5k tokens (recommended) | SKILL.md body |
| 3: Resources | As needed | Effectively unlimited | Bundled files, scripts |
Keep SKILL.md under 500 lines. Move detailed docs to separate files and reference them:
## Advanced features
- **Form filling**: See [FORMS.md](FORMS.md)
- **API reference**: See [reference.md](reference.md)
Claude reads referenced files only when the task requires them.
Composability
Skills work alongside other skills. Don't assume yours is the only one loaded.
Portability
Skills work across Claude.ai, Claude Code, API, and Agent SDK without modification (if dependencies are available).
Writing the Description (Critical)
The description is the single most important field - it determines when your skill activates. Claude uses it to decide relevance from potentially 100+ available skills.
Rules
- Write in third person ("Processes files..." not "I help you process files...")
- Include WHAT it does + WHEN to use it
- Max 1024 characters, no XML angle brackets
- Be slightly "pushy" - Claude tends to undertrigger rather than overtrigger
- Include specific trigger phrases users would naturally say
Good vs Bad
# GOOD - specific, actionable, includes triggers
description: Extract text and tables from PDF files, fill forms, merge
documents. Use when working with PDF files or when the user mentions
PDFs, forms, or document extraction.
# BAD - too vague
description: Helps with documents.
# BAD - missing triggers
description: Creates sophisticated multi-page documentation systems.
More examples in references/description-guide.md.
Frontmatter Reference
Required Fields
| Field | Rules |
|---|---|
name | Kebab-case, max 64 chars, lowercase + numbers + hyphens only. No "claude" or "anthropic" |
description | Non-empty, max 1024 chars, no XML tags. WHAT + WHEN |
The agentskills.io standard and the Claude API require both fields. Claude Code is more lenient: name falls back to the directory name, and description falls back to the first markdown paragraph. Write both anyway for portability.
Optional Fields (Claude Code)
| Field | Purpose |
|---|---|
argument-hint | Autocomplete hint, e.g. [issue-number] |
when_to_use | Extra trigger context, appended to description in the skill listing |
arguments | Named positional arguments for $name substitution (space-separated string or list) |
disable-model-invocation | true = only user can invoke (for deploy, commit) |
user-invocable | false = hidden from / menu (background knowledge) |
allowed-tools | Pre-approves tools (no permission prompt); space-separated, e.g. Read Grep Glob |
model | Override model for this skill; accepts inherit. Lasts the current turn only |
effort | Override effort level: low, medium, high, xhigh, max |
context | fork = run in isolated subagent |
agent | Subagent type when context: fork (e.g. Explore, Plan) |
hooks | Hooks scoped to this skill's lifecycle |
paths | Glob patterns limiting when skill activates |
Naming Conventions
The name (and its folder) must: be 1-64 chars; use only lowercase letters, numbers, and hyphens; not start or end with a hyphen; not contain consecutive hyphens (--); and match the parent directory name. Anthropic surfaces also reject the reserved words claude and anthropic.
Prefer gerund form for clarity:
processing-pdfs,analyzing-spreadsheets,managing-databases- Also acceptable:
pdf-processing,process-pdfs - Avoid:
helper,utils,tools,documents
Structuring Instructions
Be Concise
Claude is smart. Only add context it doesn't already have:
# GOOD (~50 tokens)
## Extract PDF text
Use pdfplumber for text extraction:
```python
import pdfplumber
with pdfplumber.open("file.pdf") as pdf:
text = pdf.pages[0].extract_text()
BAD (~150 tokens)
Extract PDF text
PDF files are a common file format containing text and images. To extract text, you need a library. There are many available...
### Avoid Too Many Options
Don't present multiple approaches unless necessary. Give one default with an escape hatch:
```markdown
# BAD: "Use pypdf, or pdfplumber, or PyMuPDF, or pdf2image..."
# GOOD: "Use pdfplumber for text extraction. For scanned PDFs needing
# OCR, use pdf2image with pytesseract instead."
Set Degrees of Freedom
- High freedom (text guidelines): Multiple approaches valid, context-dependent
- Medium freedom (pseudocode/templates): Preferred pattern exists, some variation OK
- Low freedom (exact scripts): Operations are fragile, consistency critical
Recommended SKILL.md Structure
# Skill Name
## Quick start
[Minimal working example]
## Workflow Decision Tree
[Route to the right approach based on task type]
## Detailed Instructions
[Step-by-step for each workflow]
## Examples
[Concrete input/output pairs]
## Troubleshooting
[Common errors and fixes]
Reference Files
Keep references one level deep from SKILL.md. "Depth" means the reference chain (a file linking to a file linking to a file), not filesystem nesting - a references/ subdirectory is fine. In a chain, Claude may preview files with partial reads (head) and miss content.
# BAD: Too deep
SKILL.md -> advanced.md -> details.md -> actual info
# GOOD: One level
SKILL.md -> advanced.md (contains the info directly)
SKILL.md -> reference.md (contains the info directly)
For reference files >100 lines, include a table of contents at the top. Watch file size too: a single reference of many hundreds of lines defeats progressive disclosure even at one level deep, because Claude loads the whole file for any subtopic. Split large references by subtopic so each task pulls only what it needs.
Patterns
Sequential Workflow
## Step 1: Analyze input
Run: `python scripts/analyze.py input.pdf`
## Step 2: Validate
Run: `python scripts/validate.py fields.json`
Fix any errors before continuing.
## Step 3: Execute
Run: `python scripts/process.py input.pdf fields.json output.pdf`
Conditional Workflow (Decision Tree)
## Workflow Decision Tree
**Creating new content?** -> Follow "Creation workflow"
**Editing existing content?** -> Follow "Editing workflow"
**Reviewing content?** -> Follow "Review workflow"
Feedback Loop
1. Make edits
2. Validate: `python scripts/validate.py`
3. If validation fails -> fix issues -> go to step 2
4. Only proceed when validation passes
Checklist Pattern (for complex tasks)
Copy this checklist and track progress:
- [ ] Step 1: Analyze input
- [ ] Step 2: Create plan
- [ ] Step 3: Validate plan
- [ ] Step 4: Execute
- [ ] Step 5: Verify output
More patterns in references/patterns.md.
Scripts
When your skill includes executable code:
- Solve, don't punt: Handle errors explicitly instead of letting them fail
- Justify constants: No magic numbers - document why each value was chosen
- Prefer execution over loading: Scripts run without entering context; only output consumes tokens
- Clarify intent: "Run
analyze.py" (execute) vs "Seeanalyze.py" (read as reference) - List dependencies in SKILL.md and verify availability
Testing
Build Evaluations First
Create evaluations before writing extensive instructions - this proves the skill solves a real problem. Run Claude on representative tasks without the skill and document the failures; build ~3 scenarios that test those gaps; measure a baseline; then write the minimum instructions needed to pass. Iterate against the baseline.
Triggering Tests
Should trigger:
- "Help me set up a new project in [Service]"
- "I need to create a project" (paraphrased)
Should NOT trigger:
- "What's the weather?" (unrelated)
- "Write Python code" (too generic)
Functional Tests
Test normal operations, edge cases, and out-of-scope requests. Run the same request 3-5 times to check consistency.
Debug Triggering
Ask Claude: "When would you use the [skill-name] skill?" - it quotes the description back. Adjust based on what's missing.
Troubleshooting
| Symptom | Cause | Fix |
|---|---|---|
| Skill never loads | Description too vague | Add specific triggers and key terms |
| Skill loads for wrong tasks | Description too broad | Add negative triggers, be more specific |
| Instructions not followed | Too verbose or buried | Put critical instructions at top, use headers |
| Slow/degraded responses | SKILL.md too large | Move content to references/, keep under 500 lines |
| "Could not find SKILL.md" | Wrong filename | Must be exactly SKILL.md (case-sensitive) |
| "Invalid skill name" | Spaces or capitals | Use kebab-case: my-skill-name |
Distribution
| Surface | How to Deploy |
|---|---|
| Claude.ai | Settings > Features > Upload zip |
| Claude Code (personal) | ~/.claude/skills/<name>/SKILL.md |
| Claude Code (project) | .claude/skills/<name>/SKILL.md |
| Claude Code (plugin) | <plugin>/skills/<name>/SKILL.md |
| API | Upload via the Skill Management API, use via the Messages API |
| Enterprise | Managed settings (org-wide) |
Skills don't sync across surfaces - deploy separately to each.
Using Skills with the API
Custom skills are uploaded through the Skill Management API; anthropic-type skills are pre-built by Anthropic. Both are used identically - pass them in the Messages API container parameter, each as {type, skill_id, version} where type is anthropic or custom. Up to 8 Skills per request. Requires the code execution tool and the beta headers code-execution-2025-08-25 and skills-2025-10-02 (plus files-api-2025-04-14 for file upload/download). The API code execution environment has no network access and no runtime package installation - bundle dependencies or use pre-installed packages.
Security
- Only use skills from trusted sources
- No XML angle brackets in frontmatter (injection risk)
- Audit all bundled scripts and resources before using third-party skills
- Be cautious of skills that fetch from external URLs
Additional References
- Description writing guide - detailed examples and anti-patterns
- Patterns and workflows - advanced patterns with MCP, subagents, iterative refinement
- Claude Code features - context:fork, dynamic injection, argument substitution
- Quality checklist - pre-upload validation checklist
- ClawHub publishing -
metadata.openclawschema, moderation pipeline, reason codes catalog, pre-publish checklist