skill-writer

Create and improve agent skills following the Agent Skills specification. Use when asked to create, write, or update skills.

31,392 stars

Best use case

skill-writer is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Create and improve agent skills following the Agent Skills specification. Use when asked to create, write, or update skills.

Create and improve agent skills following the Agent Skills specification. Use when asked to create, write, or update skills.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "skill-writer" skill to help with this workflow task. Context: Create and improve agent skills following the Agent Skills specification. Use when asked to create, write, or update skills.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/skill-writer/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/skill-writer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/skill-writer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How skill-writer Compares

Feature / Agentskill-writerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Create and improve agent skills following the Agent Skills specification. Use when asked to create, write, or update skills.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Skill Writer

Use this as the single canonical workflow for skill creation and improvement.
Primary success condition: maximize high-value input coverage before authoring so the resulting skill has minimal blind spots.

Load only the path(s) required for the task:

| Task | Read |
|------|------|
| Set skill class and required dimensions | `references/mode-selection.md` |
| Apply writing constraints for depth vs concision | `references/design-principles.md` |
| Select structure pattern for this skill | `references/skill-patterns.md` |
| Select workflow orchestration pattern for process-heavy skills | `references/workflow-patterns.md` |
| Select output format pattern for deterministic quality | `references/output-patterns.md` |
| Choose workflow path and required outputs | `references/mode-selection.md` |
| Load representative synthesis examples by skill type | `references/examples/*.md` |
| Synthesize external/local sources with depth gates | `references/synthesis-path.md` |
| Author or update SKILL.md and supporting files | `references/authoring-path.md` |
| Optimize skill description and trigger precision | `references/description-optimization.md` |
| Iterate using positive/negative/fix examples | `references/iteration-path.md` |
| Evaluate behavior and compare baseline vs with-skill (opt-in quantitative) | `references/evaluation-path.md` |
| Register and validate skill changes | `references/registration-validation.md` |

## Step 1: Resolve target and path

1. Resolve target skill path and intended operation (`create`, `update`, `synthesize`, `iterate`).
2. Read `references/mode-selection.md` and select the required path(s).
3. Classify the skill (`workflow-process`, `integration-documentation`, `security-review`, `skill-authoring`, `generic`).
4. Ask one direct question if class or depth requirements are ambiguous; otherwise state explicit assumptions.

## Step 2: Run synthesis when needed

Read `references/synthesis-path.md`.

1. Collect and score relevant sources with provenance.
2. Apply trust and safety rules when ingesting external content.
3. Produce source-backed decisions and coverage/gap status.
4. Load one or more profiles from `references/examples/*.md` when the skill is hybrid.
5. Enforce baseline source pack for skill-authoring workflows.
6. Enforce depth gates before moving to authoring.

## Step 3: Run iteration first when improving from outcomes/examples

Read `references/iteration-path.md` first when selected path includes `iteration` (for example operation `iterate`).

1. Capture and anonymize examples with provenance.
2. Re-evaluate skill behavior against working and holdout slices.
3. Propose improvements from positive/negative/fix evidence.
4. Carry concrete behavior deltas into authoring.

Skip this step when selected path does not include `iteration`.

## Step 4: Author or update skill artifacts

Read `references/authoring-path.md`.

1. Write or update `SKILL.md` in imperative voice with trigger-rich description.
2. Create focused reference files and scripts only when justified.
3. Follow `references/skill-patterns.md`, `references/workflow-patterns.md`, and
   `references/output-patterns.md` for structure and output determinism.
4. For authoring/generator skills, include transformed examples in references:
   - happy-path
   - secure/robust variant
   - anti-pattern + corrected version

## Step 5: Optimize description quality

Read `references/description-optimization.md`.

1. Validate should-trigger and should-not-trigger query sets.
2. Reduce false positives and false negatives with targeted description edits.
3. Keep trigger language generic across Codex and Claude.

## Step 6: Evaluate outcomes

Read `references/evaluation-path.md`.

1. Run a lightweight qualitative check by default (recommended).
2. For integration/documentation and skill-authoring skills, include the concise depth rubric from `references/evaluation-path.md`.
3. Run deeper eval playbook and quantitative baseline-vs-with-skill only when requested or risk warrants it.
4. Record outcomes and unresolved risks.

## Step 7: Register and validate

Read `references/registration-validation.md`.

1. Apply repository registration steps.
2. Run quick validation with strict depth gates.
3. Reject shallow outputs that fail depth gates or required artifact checks.

## Output format

Return:

1. `Summary`
2. `Changes Made`
3. `Validation Results`
4. `Open Gaps`

## When to Use
Use this skill when tackling tasks related to its primary domain or functionality as described above.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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