skill-lean-research
- Repo stars 435
- Author updated Live
- Author repo nvim
- Domain
- Engineering
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @benbrastmckie · no license declared
- Token usage
- Lean
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Shell exec
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: skill-lean-research
description: Research Lean 4 and Mathlib for theorem proving tasks. Invoke for Lean-language research using L…
category: engineering
runtime: no special runtime
---
# skill-lean-research output preview
## PART A: Task fit
- Use case: Research Lean 4 and Mathlib for theorem proving tasks. Invoke for Lean-language research using LeanSearch, Loogle, and lean-lsp tools. Thin wrapper that delegates Lean research to lean-research-agent subagent. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Trigger Conditions / Execution Flow / Stage 1: Input Validation” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Research Lean 4 and Mathlib for theorem proving tasks. Invoke for Lean-language research using LeanSearch, Loogle, and lean-lsp tools. Thin wrapper that delegates Lean research to lean-research-agent subagent. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Trigger Conditions / Execution Flow / Stage 1: Input Validation” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Trigger Conditions / Execution Flow / Stage 1: Input Validation”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: skill-lean-research
description: Research Lean 4 and Mathlib for theorem proving tasks. Invoke for Lean-language research using L…
category: engineering
source: benbrastmckie/nvim
---
# skill-lean-research
## When to use
- Research Lean 4 and Mathlib for theorem proving tasks. Invoke for Lean-language research using LeanSearch, Loogle, and…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Trigger Conditions / Execution Flow / Stage 1: Input Validation” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "skill-lean-research" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Trigger Conditions / Execution Flow / Stage 1: Input Validation
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Lean Research Skill
Thin wrapper that delegates Lean research to lean-research-agent subagent.
IMPORTANT: This skill implements the skill-internal postflight pattern. After the subagent returns, this skill handles all postflight operations (status update, artifact linking, git commit) before returning.
Trigger Conditions
This skill activates when:
- Task type is "lean4" or "lean" (either accepted)
- Research involves Mathlib, theorems, or proofs
- Lean-specific MCP tools are needed
Execution Flow
Stage 1: Input Validation
Validate required inputs:
task_number- Must be provided and exist in state.jsonfocus_prompt- Optional focus for research direction
# Lookup task
task_data=$(jq -r --argjson num "$task_number" \
'.active_projects[] | select(.project_number == $num)' \
specs/state.json)
# Validate exists
if [ -z "$task_data" ]; then
return error "Task $task_number not found"
fi
# Extract fields
task_type=$(echo "$task_data" | jq -r '.task_type // "general"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')
Stage 2: Preflight Status Update
Update task status to "researching" BEFORE invoking subagent.
Update state.json:
jq --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--arg status "researching" \
--arg sid "$session_id" \
'(.active_projects[] | select(.project_number == '$task_number')) |= . + {
status: $status,
last_updated: $ts,
session_id: $sid
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
Update TODO.md: Use Edit tool to change status marker from [NOT STARTED] or [RESEARCHED] to [RESEARCHING].
Stage 3: Prepare Delegation Context
Prepare delegation context for the subagent:
{
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "research", "skill-lean-research"],
"timeout": 3600,
"task_context": {
"task_number": N,
"task_name": "{project_name}",
"description": "{description}",
"task_type": "lean"
},
"focus_prompt": "{optional focus}",
"metadata_file_path": "specs/{N}_{SLUG}/.return-meta.json"
}
Stage 4: Invoke Subagent
CRITICAL: You MUST use the Agent tool to spawn the subagent.
Required Tool Invocation:
Tool: Agent (NOT Skill, NOT Plan)
Parameters:
- subagent_type: "lean-research-agent"
- prompt: [Include task_context, delegation_context, focus_prompt, metadata_file_path]
- description: "Execute Lean research for task {N}"
DO NOT use Skill(lean-research-agent) - this will FAIL.
The subagent will:
- Search Mathlib using lean_leansearch, lean_loogle, lean_leanfinder
- Verify theorems with lean_local_search and lean_hover_info
- Analyze findings and synthesize recommendations
- Create research report in
specs/{N}_{SLUG}/reports/ - Write metadata to
specs/{N}_{SLUG}/.return-meta.json - Return a brief text summary (NOT JSON)
Stage 4b: Self-Execution Fallback
CRITICAL: If you performed the work above WITHOUT using the Agent tool (i.e., you read files,
wrote artifacts, or updated metadata directly instead of spawning a subagent), you MUST write a
.return-meta.json file now before proceeding to postflight. Use the schema from
return-metadata-file.md with the appropriate status value for this operation.
If you DID use the Agent tool, skip this stage -- the subagent already wrote the metadata.
Postflight (ALWAYS EXECUTE)
The following stages MUST execute after work is complete, whether the work was done by a subagent or inline (Stage 4b). Do NOT skip these stages for any reason.
Stage 5: Parse Subagent Return
Read the metadata file:
metadata_file="specs/${padded_num}_${project_name}/.return-meta.json"
if [ -f "$metadata_file" ] && jq empty "$metadata_file" 2>/dev/null; then
status=$(jq -r '.status' "$metadata_file")
artifact_path=$(jq -r '.artifacts[0].path // ""' "$metadata_file")
artifact_type=$(jq -r '.artifacts[0].type // ""' "$metadata_file")
artifact_summary=$(jq -r '.artifacts[0].summary // ""' "$metadata_file")
else
echo "Error: Invalid or missing metadata file"
status="failed"
fi
Stage 6: Update Task Status (Postflight)
If status is "researched", update state.json and TODO.md:
Update state.json:
jq --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" \
--arg status "researched" \
'(.active_projects[] | select(.project_number == '$task_number')) |= . + {
status: $status,
last_updated: $ts,
researched: $ts
}' specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
Update TODO.md: Use Edit tool to change status marker from [RESEARCHING] to [RESEARCHED].
On partial/failed: Keep status as "researching" for resume.
Stage 7: Link Artifacts
Add artifact to state.json with summary.
if [ -n "$artifact_path" ]; then
jq --arg path "$artifact_path" \
--arg type "$artifact_type" \
--arg summary "$artifact_summary" \
'(.active_projects[] | select(.project_number == '$task_number')).artifacts += [{"path": $path, "type": $type, "summary": $summary}]' \
specs/state.json > specs/tmp/state.json && mv specs/tmp/state.json specs/state.json
fi
Update TODO.md: Link artifact using count-aware format. Apply the four-case Edit logic from @.claude/context/patterns/artifact-linking-todo.md with field_name=**Research**, next_field=**Plan**.
Stage 8: Git Commit
Commit changes with session ID:
git add \
"specs/${padded_num}_${project_name}/reports/" \
"specs/${padded_num}_${project_name}/.return-meta.json" \
"specs/TODO.md" \
"specs/state.json"
git commit -m "task ${task_number}: complete research
Session: ${session_id}
Stage 9: Return Brief Summary
Return a brief text summary (NOT JSON). Example:
Research completed for task {N}:
- Found {count} relevant Mathlib theorems
- Identified proof strategy: {strategy}
- Created report at specs/{N}_{SLUG}/reports/MM_{short-slug}.md
- Status updated to [RESEARCHED]
- Changes committed
Error Handling
Input Validation Errors
Return immediately with error message if task not found.
Metadata File Missing
If subagent didn't write metadata file:
- Keep status as "researching"
- Report error to user
Git Commit Failure
Non-blocking: Log failure but continue with success response.
Subagent Timeout
Return partial status if subagent times out (default 3600s). Keep status as "researching" for resume.
Return Format
This skill returns a brief text summary (NOT JSON). The JSON metadata is written to the file and processed internally.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review