Agent skill

Skill Forge Evolve

by AgriciDaniel in AgriciDaniel/skill-forge

Improve and iterate on existing Claude Code skills based on usage feedback, test results, or changing requirements.

MITAuto-check passedAgent Workflows

Install Skill Forge Evolve

skills CLI
$ npx skills add AgriciDaniel/skill-forge --skill skill-forge-evolve -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgriciDaniel/skill-forge skill-forge-evolve --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgriciDaniel/skill-forge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-forge-evolve .claude/skills/skill-forge-evolve && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-forge-evolve
GitHub stars
177
Token cost
~1.8k tokens
SKILL.md length
652 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Improve and iterate on existing Claude Code skills based on usage feedback, test results, or changing requirements.

  • Works in 5 steps: Diagnose the Issue → Apply Fix by Category → Iteration Workspace Protocol → …
  • User says improve skill
  • SKILL.md covers Process and Common Evolution Patterns
  • Calls python

What it does

Skill Forge Evolve is an agent skill from AgriciDaniel/skill-forge. Improve and iterate on existing Claude Code skills based on usage feedback, test results, or changing requirements. Handles under/over-triggering fixes, instruction refinement, new sub-skill addition, and architecture evolution. Use when user says "improve skill", "fix skill", "skill not triggering", "skill triggers too much", "update skill", or "evolve skill".

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. The repository describes itself as: Ultimate Claude Code skill creator — design, scaffold, build, review, evolve, and publish production-grade AI agent skills. The licence is MIT.

When your agent uses it

  • User says improve skill
  • Skill not triggering
  • Skill triggers too much

Example prompts

  • “improve skill”
  • “fix skill”
  • “skill not triggering”
  • “/skill-forge-evolve”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Diagnose the Issue
  2. Apply Fix by Category
  3. Iteration Workspace Protocol
  4. Architecture Evolution
  5. Version Management

What it can do on your machine

Read from SKILL.md and the folder at commit 2872ee9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Forge Evolve loads about 1.8k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 652 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AgriciDaniel/skill-forge at commit 2872ee9, republished under its MIT licence (© AgriciDaniel). 652 words, ~1,754 tokens.

Download SKILL.mdSave it as .claude/skills/skill-forge-evolve/SKILL.md (or your agent's skills folder).
name
skill-forge-evolve
description
Improve and iterate on existing Claude Code skills based on usage feedback, test results, or changing requirements. Handles under/over-triggering fixes, instruction refinement, new sub-skill addition, and architecture evolution. Use when user says "improve skill", "fix skill", "skill not triggering", "skill triggers too much", "update skill", or "evolve skill".

Skill Evolution & Improvement

Process

Step 1: Diagnose the Issue

Ask the user or analyze logs to identify the problem category:

Category A: Triggering Issues

  • Under-triggering: Skill doesn't activate when it should
  • Over-triggering: Skill activates when it shouldn't
  • Mis-triggering: Wrong sub-skill activates

Category B: Execution Issues

  • Incomplete workflows: Skill stops before finishing
  • Incorrect output: Results don't match expectations
  • Missing error handling: Failures not handled gracefully
  • Performance: Too slow or too many token used

Category C: Architecture Issues

  • Missing capability: New use case not covered
  • Scale issues: Skill too large, needs decomposition
  • Cross-reference problems: Links to non-existent files

Category D: Quality Issues

  • Inconsistent results: Different outputs for same input
  • Vague instructions: Claude interprets differently each time
  • Missing examples: No concrete guidance
Step 2: Apply Fix by Category
Fix: Under-Triggering
  1. Read current description
  2. Identify missing trigger phrases
  3. Add domain keywords and paraphrases
  4. Add file type mentions if relevant
  5. Test with 5 queries that should now trigger

Common causes:

  • Description too generic
  • Missing common paraphrases
  • Technical jargon without lay terms

Fix template:

yaml
# Before (under-triggers)
description: Analyzes code quality

# After (specific triggers)
description: >
  Static code analysis and quality assessment. Checks code style,
  complexity, security vulnerabilities, and test coverage. Use when
  user says "code review", "code quality", "lint", "static analysis",
  "code smell", "code audit", or "check my code".
Fix: Over-Triggering
  1. Read current description
  2. Identify why unrelated queries trigger it
  3. Add negative triggers ("Do NOT use for...")
  4. Make description more specific
  5. Test with 5 queries that should NOT trigger

Fix template:

yaml
# Before (over-triggers)
description: Processes documents for review

# After (specific + negative triggers)
description: >
  Processes PDF legal documents for contract clause extraction and
  compliance review. Use for legal contracts, NDAs, terms of service.
  Do NOT use for general document editing, formatting, or non-legal PDFs.
Fix: Execution Issues
  1. Identify the failing step in the workflow
  2. Add explicit validation gates between steps
  3. Add error handling with clear recovery instructions
  4. Add "If X fails, then Y" fallback paths
  5. Consider adding a script for fragile operations
Fix: Quality Issues
  1. Replace vague instructions with specific ones
  2. Add concrete examples of expected input/output
  3. Add explicit "do this, not that" comparisons
  4. Add quality check steps before final output
  5. Consider adding a validation script
Step 3: Iteration Workspace Protocol

Use structured workspaces to track improvements across iterations:

eval-workspace/
  iteration-1/          # First version
    eval-0/with_skill/  # Eval results
    eval-0/baseline/
    benchmark.json      # Aggregated metrics
    benchmark.md        # Human-readable report
    feedback.json       # User feedback
  iteration-2/          # After first improvement
    eval-0/with_skill/
    eval-0/baseline/
    benchmark.json
    benchmark.md
    feedback.json

The iteration loop:

  1. Apply the fix to the skill
  2. Run /skill-forge eval <path> into iteration-<N+1>/
  3. Run /skill-forge benchmark <path> with --previous iteration-<N>/
  4. Review benchmark comparison for regressions
  5. Collect user feedback into feedback.json
  6. Read feedback and iterate (back to Step 2)

Stop iterating when:

  • User says they're happy
  • All feedback is empty (everything looks good)
  • Benchmark shows no meaningful progress between iterations
  • Pass rate meets the defined thresholds
Step 3b: Self-Annealing Loop

For quick fixes without full eval pipeline:

1. Apply the fix
2. Test with the original failing case
3. Test with 3 other cases (regression check)
4. If fix works:
   -> Update the directive/SKILL.md
   -> Document the learning in references or SKILL.md
5. If fix fails:
   -> Diagnose why
   -> Try alternative approach
   -> Repeat
Show full SKILL.md (263 more words)Show less
Step 3c: Description Optimization Loop

For triggering issues (Category A), use the automated optimization loop:

  1. Generate trigger eval set: python scripts/generate_eval_set.py <path>
  2. Review and refine the eval set with the user
  3. Run optimization: python scripts/optimize_description.py <path> --eval-set evals.json
  4. Review the train/test split scores and improvement suggestions
  5. Apply suggested description changes
  6. Re-run optimization to measure improvement
  7. Select the description with the highest test score (not train — avoids overfitting)
  8. Iterate up to 5 times or until test score plateaus
Step 4: Architecture Evolution

When a skill outgrows its tier:

Tier 1 -> Tier 2 (needs scripts):

  1. Identify the fragile/deterministic operation
  2. Create script in scripts/
  3. Update SKILL.md to reference the script
  4. Test script independently

Tier 2 -> Tier 3 (needs sub-skills):

  1. Identify distinct workflows that can be separated
  2. Extract each into its own skills/{parent}-{child}/SKILL.md
  3. Update main SKILL.md with routing table
  4. Move shared knowledge to references/
  5. Update install.sh

Tier 3 -> Tier 4 (needs agents):

  1. Identify workflows that can run in parallel
  2. Create agent definitions in agents/
  3. Update the audit/full-analysis sub-skill to delegate to agents
  4. Test parallel execution
Step 5: Version Management

After evolution:

  1. Update metadata.version in frontmatter (if present)
  2. Add learning to SKILL.md or reference file
  3. Update any affected cross-references
  4. Re-run validation: python scripts/validate_skill.py <path>
  5. Test full workflow end-to-end

Common Evolution Patterns

Pattern: Adding Industry Detection

When a skill needs to adapt behavior by user type:

markdown
## Industry Detection
Detect user type from context:
- **Type A**: [signals] -> [behavior]
- **Type B**: [signals] -> [behavior]
Pattern: Adding Quality Gates

When output quality is inconsistent:

markdown
## Quality Gates
Before delivering output:
- [ ] [Check 1]
- [ ] [Check 2]
- [ ] [Check 3]
Pattern: Adding Scoring

When users need measurable output:

markdown
## Scoring (0-100)
| Category | Weight |
|----------|--------|
| Category A | 30% |
| Category B | 30% |
| Category C | 20% |
| Category D | 20% |

© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/skill-forge-evolve of AgriciDaniel/skill-forge.

Open the folder on GitHubat commit 2872ee9

Compare with similar skills

Skill Forge Evolve next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Forge Evolve compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Forge Evolve this skillAgriciDaniel/skill-forge177—~1.8kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official37k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k34 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official37k8 repos~2.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Skill Forge Evolve

What does Skill Forge Evolve do?

Improve and iterate on existing Claude Code skills based on usage feedback, test results, or changing requirements. Skill Forge Evolve is an agent skill from AgriciDaniel/skill-forge. Improve and iterate on existing Claude Code skills based on usage feedback, test results, or changing requirements.

When should I use Skill Forge Evolve?

Skill Forge Evolve fits situations like: user says improve skill; skill not triggering; skill triggers too much.

How do I install Skill Forge Evolve in Claude Code?

Run `npx skills add AgriciDaniel/skill-forge --skill skill-forge-evolve -a claude-code`. Or copy the skill folder (skills/skill-forge-evolve in AgriciDaniel/skill-forge) into .claude/skills/skill-forge-evolve in your project. Claude Code loads it when a task matches its description.

How do I install Skill Forge Evolve in Codex?

Run `npx skills add AgriciDaniel/skill-forge --skill skill-forge-evolve -a codex`. Or copy the skill folder (skills/skill-forge-evolve in AgriciDaniel/skill-forge) into .agents/skills/skill-forge-evolve in your project. Codex loads it when a task matches its description.

Can I use Skill Forge Evolve in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/skill-forge --skill skill-forge-evolve -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-forge-evolve, .gemini/skills/skill-forge-evolve, .github/skills/skill-forge-evolve and .opencode/skills/skill-forge-evolve in your project.

What does Skill Forge Evolve need to run?

Going by SKILL.md and its folder, Skill Forge Evolve needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Skill Forge Evolve access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Forge Evolve safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Forge Evolve use?

Skill Forge Evolve is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Forge Evolve use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Forge Evolve?

Skills that share tags, products or a category with Skill Forge Evolve: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 37k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Forge Evolve?

AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/skill-forge, which has 177 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on April 10, 2026.

Source: AgriciDaniel/skill-forge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.