skill-planner

name	skill-planner
description	Create phased implementation plans from research findings. Invoke when a task needs an implementation plan.
allowed-tools	Agent, AskUserQuestion, Bash, Edit, Read, Write

Planner Skill

Thin wrapper that delegates plan creation to planner-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. This eliminates the "continue" prompt issue between skill return and orchestrator.

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:

• Task status is any non-terminal state (not completed, not abandoned)
• /plan command is invoked
• Implementation approach needs to be formalized

---

Execution Flow

Stage 1: Input Validation

Validate required inputs:

• task_number - Must be provided and exist in state.json
• Task status must allow planning

# Lookup task
task_data=$(jq -r --argjson num "$task_number" \
  '.active_projects[] | select(.project_number == $num)' \
  specs/state.json)

# Validate exists
if [ -z "$task_data" ]; then
  return error "Task $task_number not found"
fi

# Extract fields
task_type=$(echo "$task_data" | jq -r '.task_type // "general"')
status=$(echo "$task_data" | jq -r '.status')
project_name=$(echo "$task_data" | jq -r '.project_name')
description=$(echo "$task_data" | jq -r '.description // ""')

# Validate status (only block terminal states)
if [ "$status" = "completed" ] || [ "$status" = "abandoned" ] || [ "$status" = "expanded" ]; then
  return error "Task is in terminal state [$status]"
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):

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

This skill supplies the shared block's preconditions: task_number, padded_num, project_name, session_id, operation, skill_name. Follow the shared block's ordering and failure-semantics rules exactly — do not re-inline the update-task-status.sh preflight call or the .postflight-pending heredoc here.

---

Stage 3a: Calculate Artifact Number

Read next_artifact_number from state.json and use (current-1) since plan stays in the same round as research:

# Read next_artifact_number from state.json
next_num=$(jq -r --argjson num "$task_number" \
  '.active_projects[] | select(.project_number == $num) | .next_artifact_number // 1' \
  specs/state.json)

# Plan uses (current - 1) to stay in the same round as research
# If next_artifact_number is 1 (no research yet), use 1
if [ "$next_num" = "null" ] || [ -z "$next_num" ]; then
  padded_num=$(printf "%03d" "$task_number")
  count=$(ls "specs/${padded_num}_${project_name}/plans/"*[0-9][0-9]*.md 2>/dev/null | wc -l)
  artifact_number=$((count + 1))
elif [ "$next_num" -le 1 ]; then
  artifact_number=1
else
  artifact_number=$((next_num - 1))
fi

# Reconciliation: scan all task subdirs for max artifact number on disk
# Handles legacy tasks where next_artifact_number may be behind actual files
padded_num=$(printf "%03d" "$task_number")
max_on_disk=$(find "specs/${padded_num}_${project_name}" -name "[0-9][0-9]_*.md" 2>/dev/null \
  | sed 's|.*/\([0-9][0-9]\)_.*|\1|' | sort -n | tail -1)
max_on_disk=${max_on_disk:-0}
# Strip leading zeros to avoid octal interpretation
max_on_disk=$((10#$max_on_disk))
if [ "$artifact_number" -le "$max_on_disk" ]; then
  artifact_number=$((max_on_disk + 1))
fi

artifact_padded=$(printf "%02d" "$artifact_number")

# Collision check: ensure no existing file uses this prefix in plans/
while ls "specs/${padded_num}_${project_name}/plans/${artifact_padded}_"*.md 2>/dev/null | grep -q .; do
  artifact_number=$((artifact_number + 1))
  artifact_padded=$(printf "%02d" "$artifact_number")
done

Note: Plan does NOT increment next_artifact_number in state.json. Only research (and revision) advances the sequence. Plan uses (current - 1) to share the same round number as the preceding research.

---

Stage 4a: Memory Retrieval (Auto)

Retrieve relevant memories from the memory system to inject into the delegation context.

Skip if: clean_flag is true in the delegation context (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

If memory_context is non-empty, it will be injected into the Stage 5 prompt alongside the format specification from Stage 4b. If empty, no memory block is injected.

Literature Detection and Injection (Stage 4a, shared block)

Follow @.claude/context/patterns/lit-stage4a-flow.md in full to resolve --lit and set lit_context: call literature-lit-flag-resolve.sh, branch on all six directives (LIT_DISABLED, SUBINDEX_PRESENT, GLOBAL_MISSING, PROMPT_NEEDED, AUTONOMOUS_GLOBAL, SPARSE_PROMPT_NEEDED), issue the real four-option AskUserQuestion for the two interactive directives (including the "Search online to ingest" option wired to the STABLE-CONTRACT literature-ingest-online.sh bridge), apply the two-checkpoint sparse re-prompt after "Use global corpus now", and take the deterministic [lit:auto] autonomous fallback when orchestrator_mode == "true" (never calling AskUserQuestion in that case). This skill supplies the shared block's preconditions: lit_flag, description, and orchestrator_mode (read from the delegation context; default "false" when unset).

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: Prepare Delegation Context

Prior plan discovery: Find the latest existing plan file (if any) to pass as reference context.

# Discover prior plan (if any)
padded_num=$(printf "%03d" "$task_number")
prior_plan_path=$(ls -1 "specs/${padded_num}_${project_name}/plans/"*.md 2>/dev/null | sort -V | tail -1)
# prior_plan_path will be empty if no prior plans exist

Prepare delegation context for the subagent:

{
  "session_id": "sess_{timestamp}_{random}",
  "delegation_depth": 1,
  "delegation_path": ["orchestrator", "plan", "skill-planner"],
  "timeout": 1800,
  "task_context": {
    "task_number": N,
    "task_name": "{project_name}",
    "description": "{description}",
    "task_type": "{task_type}"
  },
  "artifact_number": "{artifact_number from Stage 3a}",
  "effort_flag": "{effort_flag from command, null if not set}",
  "model_flag": "{model_flag from command, null if not set}",
  "roadmap_flag": "{roadmap_flag from command, false if not set}",
  "research_path": "{path to research report if exists}",
  "prior_plan_path": "{path to latest prior plan if exists}",
  "roadmap_path": "specs/ROADMAP.md",
  "metadata_file_path": "specs/{NNN}_{SLUG}/.return-meta.json"
}

Note: The artifact_number field tells the agent which sequence number to use for artifact naming (e.g., 01, 02). Plan uses (next_artifact_number - 1) to share the same round as the preceding research.

Model/Effort Flags: If model_flag is set (haiku, sonnet, opus, fable), pass it as the model parameter on the Agent tool to override the agent's frontmatter default. If effort_flag is set (fast, hard), include it as prompt context for reasoning depth guidance.

---

Stage 4b: Read and Inject Format Specification

Read the plan format file and prepare it for injection into the subagent prompt. This ensures the subagent always has the full format specification in its context, regardless of whether it reads the file itself.

format_content=$(cat .claude/context/formats/plan-format.md)

The format content will be included as a delimited section in the Stage 5 prompt (see below).

---

Stage 5: Invoke Subagent

CRITICAL: You MUST use the Agent tool to spawn the subagent.

Required Tool Invocation:

Tool: Agent (NOT Skill, NOT Plan)
Parameters:
  - subagent_type: "planner-agent"
  - prompt: [Include task_context, delegation_context, research_path, metadata_file_path,
             AND the format specification from Stage 4b as shown below]
  - description: "Execute planning for task {N}"

Format Injection: Include the format specification from Stage 4b in the prompt as a clearly-delimited section:

<artifact-format-specification>
## CRITICAL: Plan Format Requirements

You MUST follow this format specification exactly when writing the plan artifact.
Non-compliance will be caught by postflight validation.

{format_content from Stage 4b}
</artifact-format-specification>

Place this section AFTER the delegation context JSON and BEFORE any other instructions.

Memory Context Injection: If memory_context from Stage 4a is non-empty, include it in the prompt as a separate block:

{memory_context from Stage 4a -- already wrapped in <memory-context> tags}

Place the memory context block AFTER the format specification and BEFORE the task-specific instructions. Do NOT inject an empty <memory-context> block when no memories were retrieved.

Literature Briefing Injection: If lit_context from Stage 4a is non-empty, include it in the prompt as a separate block:

{lit_context from Stage 4a -- already wrapped in <literature-briefing> tags}

Place the literature briefing block AFTER the memory context block (if any) and BEFORE the task-specific instructions. Do NOT inject an empty <literature-briefing> block when no literature briefing was generated.

DO NOT use Skill(planner-agent) - this will FAIL.

The subagent will:

• Load planning context files
• Analyze task requirements and research
• Decompose into logical phases
• Identify risks and mitigations
• Create plan in specs/{NNN}_{SLUG}/plans/
• Write metadata to specs/{NNN}_{SLUG}/.return-meta.json
• Return a brief text summary (NOT JSON)

---

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 "planned".

---

Postflight (ALWAYS EXECUTE)

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

Stage 6: Parse Subagent Return (Read Metadata File)

Read the metadata file:

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=$(jq -r '.artifacts[0].type // ""' "$metadata_file")
    artifact_summary=$(jq -r '.artifacts[0].summary // ""' "$metadata_file")
    memory_candidates=$(jq -c '.memory_candidates // []' "$metadata_file")
else
    echo "Error: Invalid or missing metadata file"
    status="failed"
    memory_candidates="[]"
fi