skills/skill-optimizer-lawvable/SKILL.md
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`.
npx skillsauth add lawvable/awesome-legal-skills skill-optimizer-lawvableInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Analyze the current conversation and propose improvements to skills based on corrections, successes, and edge cases discovered during the work session.
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 historyself-improve)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]
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 |
For each correction signal, evaluate if it can become a good skill instruction.
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) |
| Criteria Met | Action | |--------------|--------| | All 4 criteria pass | Add to skill directly | | Less than 4 criteria | Ask for clarification (see Step 5) |
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.
--- 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]
Update SKILL.md
skills/[skill-name]/SKILL.mdUpdate skills/[skill-name]/CHANGELOG.md
## [DATE (format: "January 7, 2026")]
[Description of changes in natural language, 1-3 sentences]
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
rm -f ./.disabled
touch ./.disabled
Check .disabled file existence and report.
skills/[skill-name]/SKILL.mdskills/[skill-name]/CHANGELOG.md with a rollback noteUser said: "Always flag non-compete clauses over 12 months as high risk"
Evaluation:
Result: Add directly
User said: "Flag any non-market-standard indemnification clause"
Evaluation:
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.
tools
Draft, adapt, and review contracts and clauses aligned with The Chancery Lane Project's methodology for reducing carbon emissions through legal agreements. Use when Claude needs to: (1) Draft new climate-aligned clauses (e.g., net zero commitments, carbon accounting, supply chain decarbonization), (2) Adapt or modify existing contracts to incorporate climate objectives, (3) Review and analyze clauses for alignment with climate goals and decarbonization strategies, (4) Provide guidance on The Chancery Lane Project's house style and drafting methodology for climate-conscious legal work.
development
Matter budgeting and ongoing WIP/variance monitoring. Build phase-based fee estimates at matter setup, run bottom-up budgets by jurisdiction or workstream, calculate contingency, and structure AFA arrangements (fixed fee, capped fee, phased fixed fees). Ongoing monitoring: WIP tracking against budget, proportionality assessment (spend vs progress), variance commentary with root cause analysis, forecast-to-complete, realisation monitoring, write-off analysis. Trigger on: 'build a budget', 'fee estimate', 'what will this cost', 'WIP review', 'budget vs actual', 'how are we tracking against budget', 'we're over budget', 'realisation is poor', 'what's our ETC', 'budget for the German workstream', 'model the financial impact of this scope change', 'draft a fee adjustment', 'write-off analysis', 'how much contingency', 'AFA structure', 'fixed fee estimate', 'budget update', 'forecast to complete'.
tools
Operational billing execution for legal matters. Monthly bill prep and billing instructions, LC invoice review and disbursement treatment, client billing query responses, cashflow modelling (LC payment obligations vs client receipts), and leverage and burn analysis (staffing mix, predicted total cost, margin trajectory). Trigger on: 'prepare the bill', 'billing instruction', 'end of month billing', 'LC invoice', 'local counsel invoice', 'pass through as disbursement', 'client querying the invoice', 'billing dispute', 'cashflow gap', 'when will we get paid', 'LC payment due', 'leverage analysis', 'staffing mix', 'predicted total cost', 'burn rate by grade', 'are we on track', 'what will this matter cost'.
tools
When your bar comes asking "show me how you billed AI-assisted work" — and ABA 512, Florida 24-1, California, New York, and DC all have opinions out — you need an artifact that survives review. billable-time produces it. From your Claude Code session logs, it drafts reviewable time entries plus a printable HTML audit packet with: SHA-256 chain of evidence (source files + matter.yml + active disclosure pack + verifiable artifact self-hash), attorney identity and signature block, a bar-opinion disclosure pack with starter language for five jurisdictions, and content-aware deterministic narratives derived from filename and tool shape — never from prompt text by default. The tool refuses to bill on its own. --strict mode refuses to ship the artifact if any audit invariant fails (broad routes, missing attorney, missing/unverified disclosure). Comes as a Node CLI and a self-contained browser version (no backend; JSONL never leaves the page). 15 invariant tests verify the contract. AGPL-3.0.