benbrastmckie/nvim/skill-cslib-research

Claude Code and agent skill by benbrastmckie/nvim

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Research CSLib formalization patterns and Mathlib API for CSLib contributions. Invoke for cslib research tasks.

Install

npx vskill@latest install benbrastmckie/nvim/skill-cslib-research

SKILL.md

CSLib Research Skill

Thin wrapper that delegates CSLib research to cslib-research-agent subagent.

Trigger Conditions

This skill activates when:

  • Task type is "cslib"
  • Research is needed for CSLib formalization, Lean 4 proof patterns, or Mathlib API
  • CSLib contribution standards or module patterns need to be gathered

Execution Flow

Stage 1: Input Validation

Validate task_number exists and task_type is "cslib".

Stage 2: Preflight Status Update

Update status to "researching" BEFORE invoking subagent.

Stage 3: Prepare Delegation Context

Domain-specific context for the cslib-research-agent:

  • lean-lsp MCP tools for Mathlib search (lean_leansearch, lean_loogle, lean_local_search)
  • CSLib context files from .claude/extensions/cslib/context/
  • Local CSLib Lean files for pattern analysis
json
{
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "research", "skill-cslib-research"],
"timeout": 3600,
"task_context": {
"task_number": N,
"task_name": "{project_name}",
"description": "{description}",
"task_type": "cslib"
},
"focus_prompt": "{optional focus}",
"metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json"
}
Stage 4a: Memory and Literature Retrieval (Auto)

Retrieve relevant memories and literature briefing to inject into the delegation context.

Skip memory if: clean_flag is true (from --clean command flag).

bash
# Check clean_flag
if [ "$clean_flag" != "true" ]; then
memory_context=$(bash .claude/scripts/memory-retrieve.sh "$description" "$task_type" "$focus_prompt" 2>/dev/null) || memory_context=""
fi
# memory_context will be empty string if:
# - clean_flag is true (skipped)
# - memory-index.json missing or empty
# - no keywords matched any entries
# - script exited with error
bash
# Literature briefing injection (independent of clean_flag)
lit_context=""
if [ "$lit_flag" = "true" ]; then
lit_context=$(bash .claude/scripts/literature-briefing.sh 2>/dev/null) || lit_context=""
fi
# lit_context will be empty string if:
# - lit_flag is not "true" (skipped)
# - specs/literature/ sub-index is empty or missing
# - script exited with error

Note: lit_flag is independent of clean_flag. Using --clean --lit suppresses memory retrieval but still injects literature briefing. Literature briefing is gated solely on lit_flag == "true".

Stage 4: Invoke Subagent

Use Agent tool with subagent_type: "cslib-research-agent".

Include memory_context and lit_context in the prompt if non-empty:

  • If memory_context is non-empty, include it as a <memory-context> block after the delegation context.
  • If lit_context is non-empty, include it as a <literature-briefing> block after the memory context.
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 from specs/{N}_{SLUG}/.return-meta.json.

Expected `status` vocabulary: researched on success; otherwise partial, failed, or blocked. This is a closed set (@.claude/context/formats/return-metadata-file.md is normative) and near-synonyms are not accepted — see the status note in cslib-research-agent.md's Stage 7 for the three consumers a variant breaks and the stranded-task failure mode it produces. If the value read here is outside the set, do NOT proceed to Stage 6 as if it were a success: report it and stop, so the task is not promoted on an unrecognized outcome.

No `.orchestrator-handoff.json`: research agents never write one, in any mode, including under orchestrator_mode: true (cslib-research-agent.md Stage 7 states this as a prohibition). A dispatching orchestrator MUST NOT instruct this skill's subagent to write one either — .return-meta.json is the sole status channel for research, and skill-orchestrate's Stage 5 already treats an absent handoff from a research dispatch as the expected outcome and recovers through scripts/orchestrate-recover-outcome.sh.

Defensive case, if this prohibition is ever reversed: should a future variant of this skill's subagent write .orchestrator-handoff.json, it MUST echo dispatch_seq unchanged from its own delegation context — copy the value verbatim (never invent, increment, or recompute one), or omit it when the delegation context omits it. See context/patterns/dispatch-report-not-termination.md.

Stage 6: Update Task Status (Postflight)

Update state.json and TODO.md based on result.

Stage 7: Link Artifacts

Add research artifact to state.json. Update TODO.md per @.claude/context/patterns/artifact-linking-todo.md with field_name=**Research**, next_field=**Plan**.

Stage 8: Git Commit

Commit changes with session ID.

Stage 9: Return Brief Summary

Return Format

Brief text summary (NOT JSON).

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
444
Repository forks
464
7-day trend score
30

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/benbrastmckie/nvim/skill-cslib-research/badge)](https://verified-skill.com/skills/benbrastmckie/nvim/skill-cslib-research)

Something wrong with this skill or its page? Tell us.