skill-improver
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or iteratively refine a skill. Triggers on 'fix my skill', 'improve skill quality', 'skill improvement loop'. NOT for one-time reviews—use /skill-reviewer directly.
Best use case
skill-improver is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or iteratively refine a skill. Triggers on 'fix my skill', 'improve skill quality', 'skill improvement loop'. NOT for one-time reviews—use /skill-reviewer directly.
Teams using skill-improver should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/skill-improver/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skill-improver Compares
| Feature / Agent | skill-improver | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Iteratively reviews and fixes Claude Code skill quality issues until they meet standards. Runs automated fix-review cycles using the skill-reviewer agent. Use to fix skill quality issues, improve skill descriptions, run automated skill review loops, or iteratively refine a skill. Triggers on 'fix my skill', 'improve skill quality', 'skill improvement loop'. NOT for one-time reviews—use /skill-reviewer directly.
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 Improvement Methodology
Iteratively improve a Claude Code skill using the skill-reviewer agent until it meets quality standards.
## Prerequisites
Requires the `plugin-dev` plugin which provides the `skill-reviewer` agent.
Verify it's enabled: run `/plugins` — `plugin-dev` should appear in the list. If missing, install from the Trail of Bits plugin repository.
## Core Loop
1. **Review** - Call skill-reviewer on the target skill
2. **Categorize** - Parse issues by severity
3. **Fix** - Address critical and major issues
4. **Evaluate** - Check minor issues for validity before fixing
5. **Repeat** - Continue until quality bar is met
## When to Use
- Improving a skill with multiple quality issues
- Iterating on a new skill until it meets standards
- Automated fix-review cycles instead of manual editing
- Consistent quality enforcement across skills
## When NOT to Use
- **One-time review**: Use `/skill-reviewer` directly instead
- **Quick single fixes**: Edit the file directly
- **Non-skill files**: Only works on SKILL.md files
- **Experimental skills**: Manual iteration gives more control during exploration
## Issue Categorization
### Critical Issues (MUST fix immediately)
These block skill loading or cause runtime failures:
- Missing required frontmatter fields (name, description) — Claude cannot index or trigger the skill
- Invalid YAML frontmatter syntax — Parsing fails, skill won't load
- Referenced files that don't exist — Runtime errors when Claude follows links
- Broken file paths — Same as above, leads to tool failures
### Major Issues (MUST fix)
These significantly degrade skill effectiveness:
- Weak or vague trigger descriptions — Claude may not recognize when to use the skill
- Wrong writing voice (second person "you" instead of imperative) — Inconsistent with Claude's execution model
- SKILL.md exceeds 500 lines without using references/ — Overloads context, reduces comprehension
- Missing "When to Use" or "When NOT to Use" sections — Required by project quality standards
- Description doesn't specify when to trigger — Skill may never be selected
### Minor Issues (Evaluate before fixing)
These are polish items that may or may not improve the skill:
- Subjective style preferences — Reviewer may have different taste than author
- Optional enhancements — May add complexity without proportional value
- "Nice to have" improvements — Consider cost-benefit before implementing
- Formatting suggestions — Often valid but low impact
## Minor Issue Evaluation
Before implementing any minor issue fix, evaluate:
1. **Is this a genuine improvement?** - Does it add real value or just satisfy a preference?
2. **Could this be a false positive?** - Is the reviewer misunderstanding context?
3. **Would this actually help Claude use the skill?** - Focus on functional improvements
Only implement minor fixes that are clearly beneficial. Skill-reviewer may produce false positives.
## Invoking skill-reviewer
Use the skill-reviewer agent from the plugin-dev plugin. Request a review by asking Claude to:
> Review the skill at [SKILL_PATH] using the plugin-dev:skill-reviewer agent. Provide a detailed quality assessment with issues categorized by severity.
Replace `[SKILL_PATH]` with the absolute path to the skill directory (e.g., `/path/to/plugins/my-plugin/skills/my-skill`).
## Example Fix Cycle
**Iteration 1 — skill-reviewer output:**
```text
Critical: SKILL.md:1 - Missing required 'name' field in frontmatter
Major: SKILL.md:3 - Description uses second person ("you should use")
Major: Missing "When NOT to Use" section
Minor: Line 45 is verbose
```
**Fixes applied:**
- Added name field to frontmatter
- Rewrote description in third person
- Added "When NOT to Use" section
**Iteration 2 — run skill-reviewer again to verify fixes:**
```text
Minor: Line 45 is verbose
```
**Minor issue evaluation:**
Line 45 communicates effectively as-is. The verbosity provides useful context. Skip.
**All critical/major issues resolved. Output the completion marker:**
```
<skill-improvement-complete>
```
Note: The marker MUST appear in the output. Statements like "quality bar met" or "looks good" will NOT stop the loop.
## Completion Criteria
**CRITICAL**: The stop hook ONLY checks for the explicit marker below. No other signal will terminate the loop.
Output this marker when done:
```
<skill-improvement-complete>
```
**When to output the marker:**
1. **skill-reviewer reports "Pass"** or **no issues found** → output marker immediately
2. **All critical and major issues are fixed** AND you've verified the fixes → output marker
3. **Remaining issues are only minor** AND you've evaluated them as false positives or not worth fixing → output marker
**When NOT to output the marker:**
- Any critical issue remains unfixed
- Any major issue remains unfixed
- You haven't run skill-reviewer to verify your fixes worked
The marker is the ONLY way to complete the loop. Natural language like "looks good" or "quality bar met" will NOT stop the loop.
## Rationalizations to Reject
- "I'll just mark it complete and come back later" - Fix issues now
- "This minor issue seems wrong, I'll skip all of them" - Evaluate each one individually
- "The reviewer is being too strict" - The quality bar exists for a reason
- "It's good enough" - If there are major issues, it's not good enoughRelated Skills
zx-calculus
Coecke's ZX-calculus for quantum circuit reasoning via string diagrams with Z-spiders (green) and X-spiders (red)
zulip-cogen
Zulip Cogen Skill 🐸⚡
zls-integration
zls-integration skill
zig
zig skill
zig-syrup-bci
Multimodal BCI pipeline in Zig: DSI-24 EEG, fNIRS mBLL, eye tracking IVT, LSL sync, EDF read/write, GF(3) conservation
zig-programming
zig-programming skill
zeroth-bot
Zeroth Bot - 3D-printed open-source humanoid robot platform for sim-to-real and RL research. Affordable entry point for humanoid robotics.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support
wycheproof
Google's Wycheproof test vectors for cryptographic implementation testing.
Writing Hookify Rules
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
worldmat-tidar
worldmat-tidar
worlding
Gay.jl world_ pattern: persistent composable state builders with GF(3) conservation, Möbius invertibility, and Narya verification