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skill-cslib-implementation
Implement CSLib proofs following Lean 4 and CSLib contribution standards. Invoke for cslib implementation tasks.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Implement CSLib proofs following Lean 4 and CSLib contribution standards. Invoke for cslib implementation tasks.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Orchestrate multi-agent implementation with parallel phase execution. Spawns teammates for independent phases and coordinates dependent phases. Includes debugger teammate for error recovery.
Orchestrate multi-agent planning with parallel plan generation. Spawns 2-3 teammates for diverse planning approaches and synthesizes into final plan with trade-off analysis.
Orchestrate multi-agent research with wave-based parallel execution. Spawns 2-4 teammates for diverse investigation angles and synthesizes findings.
Full structural hard-mode orchestration state machine with per-phase dispatch (H1), adversarial verification (H4), convergence policing (H6), territory contracts (H7), and churn detection (H5). Invoke for /orchestrate --hard.
Autonomous state machine that drives a task through its full lifecycle (research -> plan -> implement -> complete) without user confirmation between phases. Invoke for /orchestrate command.
Execute hard-mode implementation with anti-analysis contracts, per-phase dispatch, and territory-aware execution. Invoke for --hard implementation tasks.
| name | skill-cslib-implementation |
| description | Implement CSLib proofs following Lean 4 and CSLib contribution standards. Invoke for cslib implementation tasks. |
| allowed-tools | Agent, Bash, Edit, Read, Write |
Thin wrapper that delegates CSLib proof implementation to cslib-implementation-agent subagent.
This skill activates when:
Validate task_number exists, task_type is "cslib", and an implementation plan is present.
Update status to "implementing" BEFORE invoking subagent.
Ensure Mathlib cache is warm before delegating to the agent:
cd /home/benjamin/Projects/cslib && lake exe cache get 2>&1 || echo "Warning: cache fetch failed (non-fatal)"
This is non-blocking. Cache fetch failure does not prevent delegation. On a cache hit, this completes in ~1-2 minutes and prevents 30-45 minute Mathlib rebuilds during CI verification.
Domain-specific context for the cslib-implementation-agent:
.claude/extensions/cslib/context/lake build, lake test, lake lint, lake exe checkInitImports, lake exe lint-style, lake shake{
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "implement", "skill-cslib-implementation"],
"timeout": 7200,
"task_context": {
"task_number": N,
"task_name": "{project_name}",
"description": "{description}",
"task_type": "cslib"
},
"plan_path": "specs/{NNN}_{SLUG}/plans/MM_{short-slug}.md",
"orchestrator_mode": true,
"metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json"
}
Retrieve relevant memories and literature briefing to inject into the delegation context.
Skip memory if: clean_flag is true (from --clean command flag).
# Check clean_flag
if [ "$clean_flag" != "true" ]; then
memory_context=$(bash .claude/scripts/memory-retrieve.sh "$description" "$task_type" "" 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
# 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".
Use Agent tool with subagent_type: "cslib-implementation-agent".
Include memory_context and lit_context in the prompt if non-empty:
memory_context is non-empty, include it as a <memory-context> block after the delegation context.lit_context is non-empty, include it as a <literature-briefing> block after the memory context.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.
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.
Read the metadata file from specs/{N}_{SLUG}/.return-meta.json.
Update state.json and TODO.md based on result.
Add artifact to state.json with summary. Update TODO.md per @.claude/context/patterns/artifact-linking-todo.md with field_name=**Summary**, next_field=**Description**.
Commit changes with session ID.
After the agent returns, this skill MUST NOT:
PROHIBITION: If the subagent returned partial or failed status, the lead skill MUST NOT attempt to continue, complete, or "fill in" the subagent's work. Report the partial/failed status and let the user re-run
/implementto resume.
The postflight phase is LIMITED TO:
Reference: @.claude/context/standards/postflight-tool-restrictions.md
Brief text summary (NOT JSON).