# 340 Skill Patterns 0d13d796

> Skill Patterns

- Skill: `tools-only/340-skill-patterns-0d13d796` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add tools-only/340-skill-patterns-0d13d796`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tools-only/340-skill-patterns-0d13d796/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: tools-only (https://skillmd.com/u/tools-only)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/tools-only/340-skill-patterns-0d13d796

---

# Skill Patterns

Concrete examples of skill structures at each complexity tier.

## Simple: SKILL.md Only

Use when the entire skill fits in under ~200 lines with no external resources needed.

**Examples:** `brand-guidelines`, `commit`, `create-pr`

**Structure:**
```
brand-guidelines/
└── SKILL.md
```

**Pattern highlights:**
- Frontmatter with `name` and `description` only (no model override, no allowed-tools)
- Body organized with `##` sections for different aspects of the domain
- Heavy use of tables for decision logic and examples
- No references to external files

**When to use:** The skill provides a single coherent set of rules or a short procedural workflow. All the information an agent needs fits comfortably in one file.

## Workflow: SKILL.md + Scripts

Use when the skill automates a multi-step workflow with structured data processing.

**Examples:** `iterate-pr`

**Structure:**
```
iterate-pr/
├── SKILL.md
└── scripts/
    ├── fetch_pr_checks.py
    └── fetch_pr_feedback.py
```

**Pattern highlights:**
- SKILL.md documents each script's interface (arguments, output JSON schema)
- Scripts use PEP 723 inline metadata for dependencies:
  ```python
  # /// script
  # requires-python = ">=3.12"
  # dependencies = ["requests"]
  # ///
  ```
- Invoked with `uv run ${CLAUDE_SKILL_ROOT}/scripts/script_name.py`
- Scripts run from the **repository root**, not the skill directory
- Scripts output structured JSON for agent consumption
- Scripts handle errors explicitly — don't punt to the agent
- SKILL.md includes a fallback section for when scripts fail

**When to use:** The workflow benefits from structured data extraction, API calls, or processing that would be fragile as inline bash commands.

## Domain Expert: SKILL.md + References

Use when the skill covers a broad domain with conditional knowledge loading.

**Examples:** `security-review`

**Structure:**
```
security-review/
├── SKILL.md
├── LICENSE
├── references/
│   ├── injection.md
│   ├── xss.md
│   ├── authentication.md
│   └── ... (17 reference files)
├── languages/
│   ├── python.md
│   └── javascript.md
└── infrastructure/
    ├── docker.md
    └── kubernetes.md
```

**Pattern highlights:**
- SKILL.md contains the core workflow and quick-reference tables
- Reference files are loaded **conditionally** based on detected context:
  ```markdown
  | Code Type | Load These References |
  |-----------|----------------------|
  | API endpoints | `authorization.md`, `injection.md` |
  | Frontend | `xss.md`, `csrf.md` |
  ```
- Each reference file is self-contained and focused on one topic
- SKILL.md includes a file index so the agent knows what's available
- References are one level deep from SKILL.md (no nested chains)
- Files over 100 lines include a table of contents at the top
- LICENSE included because content is adapted from external sources

**When to use:** The domain is too large for one file, but the agent only needs a subset for any given task. Progressive disclosure keeps context small.

## Argument-Accepting Skills

Use when the skill takes user input as parameters.

**Structure:**
```yaml
---
name: fix-issue
description: Fix a GitHub issue by number. Use when asked to fix, resolve, or address a GitHub issue.
disable-model-invocation: true
argument-hint: "[issue-number]"
---

Fix GitHub issue $ARGUMENTS following our coding standards.

1. Read the issue description
2. Implement the fix
3. Write tests
4. Create a commit
```

**Pattern highlights:**
- `$ARGUMENTS` is replaced with whatever follows `/fix-issue` (e.g., `/fix-issue 123`)
- `$ARGUMENTS[N]` or `$N` accesses individual arguments by position
- `argument-hint` provides autocomplete guidance
- `disable-model-invocation: true` prevents Claude from triggering it automatically (appropriate for side-effect-heavy workflows)
- If `$ARGUMENTS` is absent from the content, arguments are appended as `ARGUMENTS: <value>`

**Note:** These features are Claude Code extensions. See `${CLAUDE_SKILL_ROOT}/references/claude-code-extensions.md`.

## Anti-Patterns

### Over-long SKILL.md

**Problem:** SKILL.md exceeds 500 lines, consuming excessive context window.

**Fix:** Extract reference material into `references/` files. Keep SKILL.md focused on the procedural workflow and load references conditionally.

### Missing Trigger Keywords

**Problem:** Description says "A skill for helping with code" — agents can't match this to user requests like "review my PR" or "check for bugs".

**Fix:** Include the actual phrases users say: `Use when asked to "review code", "find bugs", "check for issues"`.

### Trigger Info in Body Instead of Description

**Problem:** The body includes a "When to Use This Skill" section, but the description is vague. The body is only loaded *after* triggering, so this information never helps with skill selection.

**Fix:** Move all "when to use" information into the `description` field. The body should contain *how* to execute, not *when* to activate.

### Duplicating CLAUDE.md

**Problem:** SKILL.md repeats repo conventions already in CLAUDE.md (commit format, PR process, etc.).

**Fix:** Reference CLAUDE.md where needed. Skills should add domain knowledge, not repeat general conventions. Example: "Follow the commit conventions in CLAUDE.md" instead of copying the entire commit format spec.

### Unconditional Reference Loading

**Problem:** SKILL.md says "Read all reference files before starting" — loads 20+ files into context regardless of the task.

**Fix:** Use a decision table to load only relevant references:
```markdown
| Detected Language | Read |
|------------------|------|
| Python           | `references/python.md` |
| JavaScript       | `references/javascript.md` |
```

### Large References Without Navigation

**Problem:** A reference file is 500+ lines with no table of contents. Agents preview with partial reads and miss important sections.

**Fix:** Add a table of contents at the top of files over 100 lines. For very large files (>10k words), include grep patterns in SKILL.md.

### Extraneous Files

**Problem:** The skill directory includes README.md, CHANGELOG.md, INSTALLATION_GUIDE.md, or other documentation files.

**Fix:** A skill should only contain files an agent needs to do the job: SKILL.md, references, scripts, assets, and LICENSE. Remove user-facing docs, development history, and setup guides.

### Scripts Without Documentation

**Problem:** SKILL.md says `uv run ${CLAUDE_SKILL_ROOT}/scripts/tool.py` but doesn't document what arguments it takes or what it outputs.

**Fix:** Document every script's interface in SKILL.md:
```markdown
### `scripts/tool.py`
Fetches X and returns structured data.
```bash
uv run ${CLAUDE_SKILL_ROOT}/scripts/tool.py --flag VALUE
```
Returns JSON:
```json
{"key": "value", "items": [...]}
```
```

### Hardcoded Paths

**Problem:** SKILL.md references a hardcoded path like `plugins/my-plugin/skills/my-skill/scripts/tool.py`.

**Fix:** Always use `${CLAUDE_SKILL_ROOT}/scripts/tool.py`. The variable resolves to the skill's directory regardless of where the agent runs from.

### First/Second Person Descriptions

**Problem:** Description says "I can help you process files" or "You can use this to process files." Inconsistent point-of-view causes discovery problems.

**Fix:** Write in third person: "Processes files and generates reports. Use when working with data files."

### Time-Sensitive Information

**Problem:** SKILL.md includes "If before August 2025, use the old API" which will become wrong.

**Fix:** Use a "Legacy patterns" section with the deprecated date noted, or remove time-sensitive content entirely.