skill-python-implementation

name	skill-python-implementation
description	Implement Python code. Invoke for Python-language implementation tasks.
allowed-tools	Agent, Bash, Edit, Read, Write

Python Implementation Skill

Thin wrapper that delegates Python implementation to python-implementation-agent subagent.

Trigger Conditions

This skill activates when:

• Task type is "python"
• /implement command targets a Python task
• Plan exists and task is ready for implementation

Execution Flow

Stage 1: Input Validation

Validate task_number exists and language is "python".

Stage 2 + Stage 3: Preflight Status Update and Postflight Marker

Source skill-base.sh once, then follow @.claude/context/patterns/skill-preflight-flow.md in full for Stage 2 (preflight status update) and Stage 3 (marker creation):

source .claude/scripts/skill-base.sh
padded_num=$(printf "%03d" "$task_number")
skill_name="skill-python-implementation"
operation="implement"

Stage 4a: Memory Retrieval and Literature Detection

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

if [ "$clean_flag" != "true" ]; then
  memory_context=$(bash .claude/scripts/memory-retrieve.sh "$description" "$task_type" "" 2>/dev/null) || memory_context=""
fi

Follow @.claude/context/patterns/lit-stage4a-flow.md in full to resolve --lit and set lit_context, exactly as skill-implementer does. This skill supplies the shared block's preconditions: lit_flag, description, orchestrator_mode (default "false" when unset).

Stage 4: Prepare Delegation Context

Include task_context, plan_path, metadata_file_path. If memory_context and/or lit_context from Stage 4a are non-empty, include them in the prompt (memory context first, then literature briefing). Do NOT inject an empty block for either.

Stage 5: Invoke Subagent

Use Agent tool with subagent_type: "python-implementation-agent".

Stage 5b: Self-Execution Fallback

Follow @.claude/context/patterns/skill-self-execution-fallback.md in full. This skill's success status value for that block's write obligation is "implemented".

Postflight (ALWAYS EXECUTE)

The following stages MUST execute after work is complete, whether the work was done by a subagent or inline (Stage 5b). Do NOT skip these stages for any reason.

Stage 6: Parse Subagent Return

Read the metadata file from specs/{N}_{SLUG}/.return-meta.json, including memory_candidates.

Stage 7, 7a, 8, 8a, 9: Postflight Status, Memory Candidates, Artifact Linking, Notify, Cleanup

Follow @.claude/context/patterns/skill-postflight-flow.md in full: field_name=**Summary**, next_field=**Description**.

Error Handling

Input Validation Errors

Return immediately if task not found or wrong language.

Metadata File Missing

Keep status as "implementing", report error.

Git Commit Failure

Non-blocking: Log failure but continue.

MUST NOT (Postflight Boundary)

After the agent returns, this skill MUST NOT:

1. Edit .py files - All Python work is done by agent
2. Run pytest/python - Testing is done by agent
3. Analyze or grep source - Analysis is agent work
4. Write summary/reports - Artifact creation is agent work

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 /implement to resume.

The postflight phase is LIMITED TO:

• Reading agent metadata file
• Updating state.json via jq
• Updating TODO.md status marker via Edit
• Linking artifacts in state.json
• Git commit
• Cleanup of temp/marker files

Reference: @.claude/context/standards/postflight-tool-restrictions.md

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Return Format

Brief text summary (NOT JSON).