Darwin Skill Optimizer
alchaincyf/darwin-skill
Scores SKILL.md files on a nine-dimension rubric, then improves them in a keep-or-revert loop with independent judge agents, test prompts, git history and human checkpoints.
Guide to analyze a current work session and propose improvements to skills.
Install Skill Optimizer Lawvable
$ npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lawve-ai/awesome-legal-skills skill-optimizer-lawvable --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-improvement-malik-taiar .claude/skills/skill-optimizer-lawvable && rm -rf skills-srcUse ~/.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/
Install the "skill-optimizer-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/skill-improvement-malik-taiar into .claude/skills/skill-optimizer-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer-lawvable", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/skill-improvement-malik-taiarType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lawve-ai/awesome-legal-skills skill-optimizer-lawvable --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-improvement-malik-taiar .agents/skills/skill-optimizer-lawvable && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-optimizer-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/skill-improvement-malik-taiar into .agents/skills/skill-optimizer-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer-lawvable", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lawve-ai/awesome-legal-skills skill-optimizer-lawvable --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-improvement-malik-taiar .cursor/skills/skill-optimizer-lawvable && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-optimizer-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/skill-improvement-malik-taiar into .cursor/skills/skill-optimizer-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer-lawvable", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lawve-ai/awesome-legal-skills.git --path skills/skill-improvement-malik-taiar--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lawve-ai/awesome-legal-skills skill-optimizer-lawvable --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-improvement-malik-taiar .gemini/skills/skill-optimizer-lawvable && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-optimizer-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/skill-improvement-malik-taiar into .gemini/skills/skill-optimizer-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer-lawvable", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lawve-ai/awesome-legal-skills skill-optimizer-lawvableInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-improvement-malik-taiar .github/skills/skill-optimizer-lawvable && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-optimizer-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/skill-improvement-malik-taiar into .github/skills/skill-optimizer-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer-lawvable", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lawve-ai/awesome-legal-skills skill-optimizer-lawvable --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-improvement-malik-taiar .opencode/skills/skill-optimizer-lawvable && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-optimizer-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/skill-improvement-malik-taiar into .opencode/skills/skill-optimizer-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-optimizer-lawvable", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
skill-optimizer-lawvable- GitHub stars
- 847
- Token cost
- ~1.8k tokens
- SKILL.md length
- 719 words
- Files
- 4 (incl. scripts)
- Skills in repo
- 154
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Guide to analyze a current work session and propose improvements to skills.
- Works in 8 steps: Identify the Skill → Detect Signals → Evaluate Each Signal for Quality → …
- Suggests improvements
- SKILL.md covers Triggers, Main Workflow (self-improve), Secondary Commands and self-improve [skill-name]…, plus 2 more sections
- Runs Shell scripts from its folder
What it does
Skill Optimizer Lawvable is an agent skill from lawve-ai/awesome-legal-skills. Guide to analyze a current work session and propose improvements to skills. Use (1) automatically after working with a skill to capture learnings, (2) when the user suggests improvements, corrections, or additions during a skill-related session, or (3) when the user manually invokes self-improve.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `README.md` and `scripts/self-improve-hook.sh`).
It sits in Agent Workflows, covering Skill management. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.
When your agent uses it
- Suggests improvements
- Additions during a skill-related session
- The user manually invokes self-improve
Example prompts
- “/skill-optimizer-lawvable”
Requirements
- A Bash shell
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 045f738. 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
Ships 1 file in scripts/ (Shell), which the agent can run.
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 Optimizer Lawvable loads about 1.8k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 719 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0 licence (© lawve-ai). 719 words, ~1,819 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-optimizer-lawvable/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- skill-optimizer-lawvable
- description
- Guide to analyze a current work session and propose improvements to skills. Use (1) automatically after working with a skill to capture learnings, (2) when the user suggests improvements, corrections, or additions during a skill-related session, or (3) when the user manually invokes `self-improve`.
- metadata.author
- Malik Taiar (Lawvable)
- metadata.license
- AGPL-3.0
- metadata.version
- 2026.01.07
Self-Improve Skill
Analyze the current conversation and propose improvements to skills based on corrections, successes, and edge cases discovered during the work session.
Triggers
self-improve- Analyze session and propose improvementsself-improve [skill-name]- Target a specific skillself-improve on- Enable automatic mode (hook)self-improve off- Disable automatic modeself-improve status- Show automatic mode statusself-improve [skill-name] history- Show modification history
Main Workflow (self-improve)
Step 1: Identify the Skill
If skill name not provided, list available skills from skills/ directory and ask:
Which skill should I analyze for this session?
[List skills found in skills/ directory]Step 2: Detect Signals
Scan the conversation for signals - moments where the user expressed feedback:
| Signal Type | Examples |
|---|---|
| Correction | "No", "That's not right", "It's missing X", "Always do Y", user rewrites output |
| Success | "Perfect", "Yes", "Exactly", user accepts without changes |
| Edge case | User needed a workaround, skill couldn't handle the request |
Step 3: Evaluate Each Signal for Quality
For each correction signal, evaluate if it can become a good skill instruction.
Quality Criteria
1. COMPLETE
The instruction includes all information needed to apply it. No need to look elsewhere or make assumptions.
| Grade | Example |
|---|---|
| Pass | "Structure output as: Key Terms / Risk Areas / Suggested Revisions" |
| Fail | "Use the standard format" (which format?) |
| Fail | "Follow our firm's guidelines" (what guidelines?) |
2. PRECISE
No vague or subjective terms. Two different people reading the instruction would understand it the same way.
| Grade | Example |
|---|---|
| Pass | "Flag non-compete clauses over 12 months as high risk" |
| Fail | "Be more thorough in the analysis" |
| Fail | "Make it more appropriate for clients" |
3. ATOMIC
One instruction addresses one single requirement. Multiple checks should be split into separate instructions.
| Grade | Example |
|---|---|
| Pass | "Check for governing law clause" |
| Fail | "Check for governing law, jurisdiction, and arbitration clauses" (three checks - split them) |
4. STABLE
If referencing regulations or standards, specify the version or date. The instruction should be evaluable the same way regardless of when it's read.
| Grade | Example |
|---|---|
| Pass | "Review the termination provisions under our internal policy [policy name and reference], dated December 12, 2024." |
| Fail | "Follow latest market standards" (which standards? will change over time) |
Step 4: Grade the Signal
| Criteria Met | Action |
|---|---|
| All 4 criteria pass | Add to skill directly |
| Less than 4 criteria | Ask for clarification (see Step 5) |
Step 5: Ask for Clarification
When feedback doesn't meet all criteria, ask for what's missing using the AskUserQuestion tool:
I detected a correction but need more information to improve the skill.
You said: "[user's feedback]"
To create a clearer instruction, I need the following information:
[Structured tool call listing what's missing based on failed criteria]If the user provides clarification → Update the instruction and proceed to Step 6.
If the user prefers the original → Proceed to Step 6 with the original instruction.
Step 6: Propose Changes
--- Learning: [skill-name] ---
Proposed additions:
1. "[exact instruction to add]"
Source: "[quote from conversation]"
2. "[exact instruction to add]"
Source: "[quote from conversation]"
---
Apply these changes? [Y/n]Show full SKILL.md (308 more words)Show less
Step 7: If Approved
Update SKILL.md
- Read
skills/[skill-name]/SKILL.md - Add each instruction in the appropriate section
- Each instruction must be readable and applicable on its own
- Read
Update
skills/[skill-name]/CHANGELOG.md- Create if doesn't exist
- Add new entry AT THE TOP:
markdown ## [DATE (format: "January 7, 2026")] [Description of changes in natural language, 1-3 sentences] - Entry rules:
- Most recent at top
- 1-3 sentences max
- Natural language
- No git references
Step 8: Save Observations
For signals that couldn't be processed, offer to save:
Save these observations for later review?
- "[signal 1]" - Status: [why insufficient]
- "[signal 2]" - Status: [why insufficient]If yes, append to skills/[skill-name]/OBSERVATIONS.md
Secondary Commands
self-improve on
- Run:
bash rm -f ./.disabled - Reply: "Automatic mode enabled."
self-improve off
- Run:
bash touch ./.disabled - Reply: "Automatic mode disabled."
self-improve status
Check .disabled file existence and report.
self-improve [skill-name] history
- Display CHANGELOG.md content
- Ask: "Would you like to revert to a previous version?"
- If yes:
- update the appropriate sections in
skills/[skill-name]/SKILL.md - update
skills/[skill-name]/CHANGELOG.mdwith a rollback note
- update the appropriate sections in
Examples
Example 1: All criteria met
User said: "Always flag non-compete clauses over 12 months as high risk"
Evaluation:
- Complete: Yes - instruction is fully specified
- Precise: Yes - "12 months" and "high risk" are clear
- Atomic: Yes - single check
- Stable: Yes - no time dependency
Result: Add directly
Example 2: Missing criteria
User said: "Flag any non-market-standard indemnification clause"
Evaluation:
- Complete: No - "non-market-standard" is not defined
- Precise: No - "market standard" is subjective and varies by deal type
- Atomic: Yes - single check
- Stable: No - market standards evolve over time
Action: Ask for clarification using the AskUserQuestion tool:
I detected a correction but need more details.
You said: "Flag any non-market-standard indemnification clause"
To make this actionable, can you specify:
- What makes an indemnification clause "non-market-standard"? (e.g., uncapped liability, coverage of indirect damages, no carve-outs for gross negligence)
Do you want to provide more details, or should I add the instruction as you stated it?If user clarifies: Update the instruction and add it. If user prefers the original: Add the instruction as stated.
Important Notes
- Never guess what the user meant - always ask if unclear
- Never infer requirements from context - they must be explicit
- One instruction = one check - split bundled feedback
- Fewer good instructions is better than many vague ones
- CHANGELOG.md is the user-facing record
© lawve-ai, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts) in skills/skill-improvement-malik-taiar of lawve-ai/awesome-legal-skills.
- SKILL.md
- LICENSE.txt
- README.md
- scripts/self-improve-hook.sh
Open the folder on GitHubat commit 045f738
Compare with similar skills
Skill Optimizer Lawvable 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 | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Optimizer Lawvable this skilllawve-ai/awesome-legal-skills | 847 | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Darwin Skill Optimizeralchaincyf/darwin-skill | 6.2k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Using Agent Skillsaddyosmani/agent-skills | 105k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Ponytail Help CardDietrichGebert/ponytail | 160k | — | ~726 | Automated safety check: Pass | MIT | |
| Skill Creatorzhayujie/CowAgent | 47k | — | ~4.7k | Automated safety check: Notes | MIT | |
| Task Observerrebelytics/one-skill-to-rule-them-all | 3.2k | 1 repos | ~11k | Automated safety check: Pass | CC-BY-4.0 |
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Guides creating, installing and updating agent skills in a workspace: SKILL.md frontmatter, bundled scripts and references, with scripts to scaffold, validate and package.
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Related
Categories
Questions about Skill Optimizer Lawvable
What does Skill Optimizer Lawvable do?
Guide to analyze a current work session and propose improvements to skills. Skill Optimizer Lawvable is an agent skill from lawve-ai/awesome-legal-skills. Guide to analyze a current work session and propose improvements to skills.
When should I use Skill Optimizer Lawvable?
Skill Optimizer Lawvable fits situations like: suggests improvements; additions during a skill-related session; the user manually invokes self-improve.
How do I install Skill Optimizer Lawvable in Claude Code?
Run `npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a claude-code`. Or copy the skill folder (skills/skill-improvement-malik-taiar in lawve-ai/awesome-legal-skills) into .claude/skills/skill-optimizer-lawvable in your project. Claude Code loads it when a task matches its description.
How do I install Skill Optimizer Lawvable in Codex?
Run `npx skills add lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -a codex`. Or copy the skill folder (skills/skill-improvement-malik-taiar in lawve-ai/awesome-legal-skills) into .agents/skills/skill-optimizer-lawvable in your project. Codex loads it when a task matches its description.
Can I use Skill Optimizer Lawvable 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 lawve-ai/awesome-legal-skills --skill skill-optimizer-lawvable -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-optimizer-lawvable, .gemini/skills/skill-optimizer-lawvable, .github/skills/skill-optimizer-lawvable and .opencode/skills/skill-optimizer-lawvable in your project.
What does Skill Optimizer Lawvable need to run?
Going by SKILL.md and its folder, Skill Optimizer Lawvable needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
Does Skill Optimizer Lawvable 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 Optimizer Lawvable 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Skill Optimizer Lawvable use?
Skill Optimizer Lawvable is published under the AGPL-3.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Skill Optimizer Lawvable use?
About 1.8k tokens (SKILL.md is roughly 7.3k 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 Optimizer Lawvable?
Skills that share tags, products or a category with Skill Optimizer Lawvable: Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars), Using Agent Skills (addyosmani/agent-skills, 105k stars), Ponytail Help Card (DietrichGebert/ponytail, 160k stars) and Skill Creator (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Optimizer Lawvable?
lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.
Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.