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skill-epi-implement

Implementation skill for R-based epidemiology analysis. Invoke for epi/epi:study implementation tasks.

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benbrastmckie/nvim
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2026년 9월 2일 22:06
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SKILL.md
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name
skill-epi-implement
description
Implementation skill for R-based epidemiology analysis. Invoke for epi/epi:study implementation tasks.
allowed-tools
Agent, Bash, Edit, Read, Write, AskUserQuestion
# Epi Implement Skill Thin wrapper that delegates epidemiology implementation to `epi-implement-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. ## Context References Reference (do not load eagerly): - Path: `.claude/context/formats/return-metadata-file.md` - Metadata file schema - Path: `.claude/context/patterns/postflight-control.md` - Marker file protocol - Path: `.claude/context/patterns/file-metadata-exchange.md` - File I/O helpers - Path: `.claude/context/patterns/jq-escaping-workarounds.md` - jq escaping patterns (Issue #1132) Note: This skill is a thin wrapper with internal postflight. Context is loaded by the delegated agent. ## Trigger Conditions This skill activates when: - `/implement` on a task with `task_type: "epi"` or `task_type: "epi:study"` - Epidemiology extension is available --- ## Input Parameters ### Required Parameters - `task_number` - Task number (must exist in state.json with task_type="epi" or "epi:study") - `session_id` - Session ID from orchestrator --- ## Execution Flow ### Stage 1: Input Validation Validate required inputs: - `task_number` - Must be provided and exist in state.json - Verify task_type is "epi" or "epi:study" ```bash task_data=$(jq -r --argjson num "$task_number" \ '.active_projects[] | select(.project_number == $num)' \ specs/state.json) if [ -z "$task_data" ]; then return error "Task $task_number not found" fi task_type=$(echo "$task_data" | jq -r '.task_type // ""') status=$(echo "$task_data" | jq -r '.status') project_name=$(echo "$task_data" | jq -r '.project_name') description=$(echo "$task_data" | jq -r '.description // ""') if [ "$task_type" = "epi" ] || [ "$task_type" = "epi:study" ]; then : # valid else return error "Task $task_number is not an epi task (task_type=$task_type)" fi ``` --- ### 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): ```bash source .claude/scripts/skill-base.sh padded_num=$(printf "%03d" "$task_number") skill_name="skill-epi-implement" operation="implement" ``` `operation="implement"` (not `"epi_implement"`) is required here: `update-task-status.sh`'s `target_status` vocabulary has no `epi_implement` value, so this skill maps onto the plain `implement` operation, same as `skill-orchestrate`. The marker's `operation` field now reads `"implement"` rather than `"epi_implement"` — a byte-for-byte Shape A key set, matching what this skill's marker already carried (`created`, `stop_hook_active`) before this conversion. --- ### Stage 4a: Memory Retrieval and Literature Detection **Skip memory retrieval if**: `clean_flag` is true (from `--clean`). ```bash 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-orchestrate` does. This skill supplies the shared block's preconditions: `lit_flag`, `description`, `orchestrator_mode` (default `"false"` when unset). --- ### Stage 4: Prepare Delegation Context Read the implementation plan to identify phases for per-phase delegation. ```json { "session_id": "sess_{timestamp}_{random}", "delegation_depth": 1, "delegation_path": ["orchestrator", "implement", "skill-epi-implement"], "timeout": 3600, "task_context": { "task_number": N, "task_name": "{project_name}", "description": "{description}", "task_type": "{task_type}" }, "workflow_type": "epi_implement", "forcing_data": "{from state.json task metadata: study_design, data_paths, etc.}", "research_report_path": "specs/{NNN}_{SLUG}/reports/{MM}_epi-research.md", "plan_path": "specs/{NNN}_{SLUG}/plans/{MM}_implementation-plan.md", "metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json" } ``` Phased delegation: Read plan phases from the plan file. Delegate each phase to the subagent sequentially, passing phase number and details. Resume from last incomplete phase on re-invocation. --- ### Stage 5: Invoke Subagent **CRITICAL**: Use the **Agent** tool to spawn the subagent. ``` Tool: Agent (NOT Skill, NOT Plan) Parameters: - subagent_type: "epi-implement-agent" - prompt: [Include task_context, delegation_context, workflow_type, forcing_data, research_report_path, plan_path, metadata_file_path] - description: "Execute epi_implement for task {N}" ``` **DO NOT** use `Skill(epi-implement-agent)` - this will FAIL. For phased plans, invoke subagent per-phase with phase context. Commit after each phase. --- ### Stage 5b: 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 5b). Do NOT skip these stages for any reason. ### Stage 6: Read Metadata File ```bash 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=$(jq -r '.artifacts[0].type // "summary"' "$metadata_file") artifact_summary=$(jq -r '.artifacts[0].summary // ""' "$metadata_file") memory_candidates=$(jq -c '.memory_candidates // []' "$metadata_file") # Schema: .claude/context/formats/return-metadata-file.md completion_summary=$(jq -r '.completion_data.completion_summary // ""' "$metadata_file") roadmap_items=$(jq -c '.completion_data.roadmap_items // []' "$metadata_file") else echo "Error: Invalid or missing metadata file" status="failed" fi ``` **Note**: renamed the local variable from `meta_status` to `status` to match the `skill-postflight-flow.md` shared block's precondition naming used below. --- ### Stage 7, 7a, 8, 8a: Postflight Status, Memory Candidates, Artifact Linking, Notify **MUST NOT cross the postflight boundary**: The subagent MUST NOT update state.json or TODO.md status. Only this skill performs postflight status transitions. Follow `@.claude/context/patterns/skill-postflight-flow.md` for Stage 7 (postflight status update), Stage 7a (memory-candidate propagation), Stage 8 (artifact linking; artifact type `"summary"`, an implementation summary with R script paths), and Stage 8a (TTS notify). `skill_propagate_completion_summary` (already routed through `skill-base.sh` before this conversion, sourced once at Stage 2 + Stage 3 above) is preserved as a "not covered by the shared block" call: ```bash field_name='**Summary**' next_field='**Description**' skill_postflight_update "$task_number" "$operation" "$session_id" "$status" if [ "$status" = "implemented" ] || [ "$status" = "completed" ]; then skill_propagate_completion_summary "$task_number" "$completion_summary" "$roadmap_items" "$task_type" fi skill_propagate_memory_candidates "$task_number" "$memory_candidates" "$session_id" skill_link_artifacts "$task_number" "$artifact_path" "$artifact_type" "$artifact_summary" \ "$field_name" "$next_field" "$session_id" skill_lifecycle_notify "$status" ``` | status | Final state.json | Final TODO.md | |-------------|-----------------|---------------| | completed | completed | [COMPLETED] | | partial | implementing (unchanged — `skill_postflight_update` no-ops) | [IMPLEMENTING] | | failed | (keep preflight, unchanged) | (keep preflight marker) | --- ### Stage 9: Git Commit Apply the `implement` scope from `.claude/context/standards/git-staging-scope.md` — targeted staging, never a repo-wide add: ```bash stage_paths=("specs/${padded_num}_${project_name}/" "specs/TODO.md" "specs/state.json") metadata_file="specs/${padded_num}_${project_name}/.return-meta.json" while IFS= read -r f; do [ -n "$f" ] && stage_paths+=("$f") done < <(jq -r '.modified_files[]? // empty' "$metadata_file" 2>/dev/null) bash .claude/scripts/git-commit-scoped.sh \ --message "task ${task_number}: complete epi implementation" \ --session "${session_id}" \ --honest-index-rows "${task_number}" \ -- "${stage_paths[@]}" ``` --- ### Stage 10: Cleanup Follow `@.claude/context/patterns/skill-postflight-flow.md`'s Stage 9 (cleanup): ```bash skill_cleanup "$padded_num" "$project_name" ``` --- ### Stage 11: Return Brief Summary **Implementation Success**: ``` Epi implementation completed for task {N}: - R analysis scripts created and validated - Created summary at specs/{NNN}_{SLUG}/summaries/{MM}_epi-implementation-summary.md - Status updated to [COMPLETED] - Changes committed with session {session_id} ``` --- ## Error Handling ### Task not found ``` Epi implement skill error for task {N}: - Task not found in state.json - No status changes made ``` ### Wrong task_type ``` Epi implement skill error for task {N}: - Task is not an epi task (task_type={task_type}) - No status changes made ``` ### Metadata file missing Keep status at preflight level for resume. ### Git commit failure Non-blocking. Log failure but continue. --- ## MUST NOT (Postflight Boundary) After the agent returns -- whether with status implemented, partial, or failed -- this skill MUST proceed immediately to postflight (Stage 6). The skill MUST NOT: 1. **Edit R/Python files** - All analysis work is done by agent 2. **Run R scripts** - Execution is done by agent 3. **Use MCP tools** - Domain tools are for agent use only 4. **Analyze or grep source** - Analysis is agent work 5. **Write summary/reports** - Artifact creation is done by agent > **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
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