<< All versions

Skill v1.0.1

currentAutomated scan100/100
benbrastmckie/nvim/skill-cslib-research

+2 new

──Details
PublishedOctober 25, 2026 at 10:53 PM
Content Hashsha256:da281972ab6cd61e...
Git SHA436600b34849
Bump Typepatch
Compare with v1.0.0
──Files
Files (1 file, 5.6 KB)
SKILL.md5.6 KBactive
SKILL.md · 144 lines · 5.6 KB

version: "1.0.1" name: skill-cslib-research description: Research CSLib formalization patterns and Mathlib API for CSLib contributions. Invoke for cslib research tasks. allowed-tools: Agent, Bash, Edit, Read, Write


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).

← v1.0.0All versions