plan
PLANNING PHASE - Decompose specification into task DAG with dependencies and phases. DO NOT invoke execute skill.
What this skill does
# Plan Workflow
**CRITICAL: This is the PLAN skill. Do NOT call Skill(execute) or Skill(tasker:execute). Follow the instructions below directly.**
**IMPORTANT: All tasker working files go in `$TARGET_DIR/.tasker/`. Do NOT create any other directories like `project-planning/`, `planning/`, or `schemas/` at the target project root. The `.tasker/` directory is the ONLY location for tasker artifacts (including `.tasker/schemas/` for JSON schemas).**
Decompose a specification into an executable task DAG. This is Phase 2 of the tasker workflow:
```
/specify → /plan → /execute
```
## Input Requirements
- **Spec** from `/specify`: `{TARGET}/docs/specs/<slug>.md`
- **Capability Map**: `{TARGET}/docs/specs/<slug>.capabilities.json`
- **FSM Artifacts** (optional): `{TARGET}/docs/state-machines/<slug>/`
## Output
- **Task DAG**: `.tasker/tasks/T001.json`, `T002.json`, etc.
- **Physical Map**: `.tasker/artifacts/physical-map.json`
- **Validation Report**: `.tasker/reports/task-validation-report.md`
---
## MANDATORY FIRST STEP: Ask for Target Project Directory
**ALWAYS ask for target_dir FIRST before anything else.** No guessing, no inference from CWD.
### Step 1: Ask for Target Directory
Use AskUserQuestion to ask:
```
What is the target project directory?
```
Free-form text input. User must provide an absolute or relative path.
**Validation:**
```bash
TARGET_DIR="<user-provided-path>"
# Convert to absolute path
TARGET_DIR=$(cd "$TARGET_DIR" 2>/dev/null && pwd || echo "$TARGET_DIR")
if [ ! -d "$TARGET_DIR" ]; then
# For new projects, check parent exists
PARENT=$(dirname "$TARGET_DIR")
if [ -d "$PARENT" ]; then
echo "Directory will be created: $TARGET_DIR"
mkdir -p "$TARGET_DIR"
else
echo "Error: Parent directory does not exist: $PARENT"
# Re-ask for target_dir
fi
fi
```
### Step 2: Check for Existing Session and Initialize
After target_dir is confirmed, check for existing `.tasker/` state:
```bash
TASKER_DIR="$TARGET_DIR/.tasker"
if [ -f "$TASKER_DIR/state.json" ]; then
echo "Found existing tasker session at $TASKER_DIR"
echo "Resuming from saved state..."
# Read phase from state.json and resume
tasker state status
else
echo "No existing session. Initializing..."
# Initialize directory structure
fi
```
### Step 3: Detect Specs (Automatic)
**Specs are REQUIRED for /plan to proceed.** Check `$TARGET_DIR/docs/specs/` for specs from /specify:
```bash
SPEC_DIR="$TARGET_DIR/docs/specs"
# Find spec files (from /specify workflow)
SPEC_FILES=$(find "$SPEC_DIR" -maxdepth 1 -name "*.md" 2>/dev/null)
CAP_MAPS=$(find "$SPEC_DIR" -maxdepth 1 -name "*.capabilities.json" 2>/dev/null)
if [ -n "$SPEC_FILES" ]; then
echo "=== Specs found ==="
echo "$SPEC_FILES"
# Use the first spec (or only spec)
SPEC_PATH=$(echo "$SPEC_FILES" | head -1)
SPEC_SLUG=$(basename "$SPEC_PATH" .md)
# Check for matching capability map
CAP_MAP="$SPEC_DIR/${SPEC_SLUG}.capabilities.json"
if [ -f "$CAP_MAP" ]; then
echo "Capability map found: $CAP_MAP"
echo "Can skip logic-architect phase"
fi
else
echo "No specs found in $SPEC_DIR"
# BLOCK - see below
fi
```
### If spec found:
Proceed to Step 4. No user question needed.
### If NO spec found — BLOCK and offer /specify:
**/plan CANNOT proceed without specs.** Present this to the user:
```markdown
## Specs Required
Planning requires a specification to decompose into tasks. Without a spec, there's nothing to plan.
**Would you like to create a spec now using `/specify`?**
The `/specify` workflow will guide you through:
1. Defining goals and scope
2. Clarifying requirements through structured questions
3. Extracting capabilities and behaviors
4. Producing a spec ready for `/plan`
```
Ask using AskUserQuestion:
```
Would you like to run /specify to create a spec now?
```
Options:
- **Yes, start /specify** — Begin the specification workflow
- **No, I'll provide a spec later** — Exit /plan for now
### Step 4: Detect Project Type (Automatic)
**Do not ask the user** — infer project type from target directory:
```bash
# Check if target directory has source code
SOURCE_FILES=$(find "$TARGET_DIR" \( -name "*.py" -o -name "*.ts" -o -name "*.js" -o -name "*.go" -o -name "*.rs" -o -name "*.java" \) \
-not -path "*node_modules*" -not -path "*__pycache__*" -not -path "*.venv*" -not -path "*/.git/*" 2>/dev/null | head -5)
if [ -n "$SOURCE_FILES" ]; then
PROJECT_TYPE="existing"
echo "Detected existing project with source files"
else
PROJECT_TYPE="new"
echo "New project (no existing source files)"
fi
```
- **Existing project** → Proceed to Step 5 (project analysis)
- **New project** → Skip to Step 6 (tech stack)
### Step 5: Existing Project Analysis (if PROJECT_TYPE=existing)
**If enhancing an existing project**, you MUST analyze the target directory **BEFORE proceeding to ingestion**. This analysis is CRITICAL - sub-agents cannot see the codebase, so you must extract and pass this context to them.
```bash
# Check directory exists
if [ ! -d "$TARGET_DIR" ]; then
echo "Error: Target directory does not exist"
exit 1
fi
# Analyze structure (capture output for context)
echo "=== Project Structure ==="
tree -L 3 -I 'node_modules|__pycache__|.git|venv|.venv|dist|build|.pytest_cache' "$TARGET_DIR" 2>/dev/null || \
find "$TARGET_DIR" -maxdepth 3 -type f | head -50
# Identify key configuration files
echo "=== Key Configuration Files ==="
for f in package.json pyproject.toml Cargo.toml go.mod Makefile requirements.txt setup.py tsconfig.json; do
[ -f "$TARGET_DIR/$f" ] && echo "Found: $f"
done
# Detect source layout patterns
echo "=== Source Layout ==="
for d in src lib app pkg cmd internal; do
[ -d "$TARGET_DIR/$d" ] && echo "Found directory: $d/"
done
# Detect test layout
echo "=== Test Layout ==="
for d in tests test spec __tests__; do
[ -d "$TARGET_DIR/$d" ] && echo "Found test directory: $d/"
done
# Sample existing code files to understand patterns
echo "=== Code Samples ==="
find "$TARGET_DIR" \( -name "*.py" -o -name "*.ts" -o -name "*.js" -o -name "*.go" -o -name "*.rs" \) \
-not -path "*node_modules*" -not -path "*__pycache__*" -not -path "*.venv*" | head -10
```
**Read key files to understand patterns:**
```bash
# Read config files to understand dependencies and structure
[ -f "$TARGET_DIR/pyproject.toml" ] && cat "$TARGET_DIR/pyproject.toml"
[ -f "$TARGET_DIR/package.json" ] && cat "$TARGET_DIR/package.json"
# Sample a few source files to understand coding patterns
# (naming conventions, import style, architecture patterns)
```
### Step 6: Store Discovery Context
**CRITICAL:** You must retain this analysis for passing to sub-agents. Store it as a structured context block:
```
PROJECT_CONTEXT = """
Directory: {TARGET_DIR}
Project Type: existing
Stack: {detected stack}
Source Layout: {layout pattern}
Test Layout: {test pattern}
Key Patterns:
- {pattern 1}
- {pattern 2}
- {pattern 3}
Integration Requirements:
- {requirement 1}
- {requirement 2}
"""
```
This `PROJECT_CONTEXT` MUST be included in every sub-agent spawn prompt (logic-architect, physical-architect, task-author). Without it, sub-agents will design solutions that conflict with existing code.
---
## Directory Initialization
**CRITICAL:** After obtaining target_dir, initialize the `.tasker/` directory structure. Sub-agents assume directories already exist.
```bash
TASKER_DIR="$TARGET_DIR/.tasker"
mkdir -p "$TASKER_DIR"/{artifacts,inputs,tasks,reports,bundles,logs}
```
This creates:
- `$TARGET_DIR/.tasker/artifacts/` - For capability-map.json, physical-map.json
- `$TARGET_DIR/.tasker/inputs/` - For spec.md
- `$TARGET_DIR/.tasker/tasks/` - For T001.json, T002.json, etc.
- `$TARGET_DIR/.tasker/reports/` - For task-validation-report.md
- `$TARGET_DIR/.tasker/bundles/` - For execution bundles
- `$TARGET_DIR/.tasker/logs/` - For activity logging
---
## Runtime Logging (MANDATORY)
All orRelated in Productivity
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microsoft-graph-gateway
IncludedRoute Microsoft Graph work in this workspace. Use when users want to read or write Outlook mail, calendar events, contacts, OneDrive or SharePoint files, Teams, Planner, To Do, users, groups, directory data, or arbitrary Microsoft Graph endpoints from VS Code. Prefer WorkIQ for common read scenarios. Use Microsoft Graph for write actions and gap-read scenarios that need exact Graph properties, filters, permissions, or endpoints.
copilotkit
IncludedUse when building with CopilotKit — setup, development, integrations, debugging, upgrading, or contributing. Routes to the appropriate specialized skill based on the task.
wordly-wisdom
IncludedProvides calibrated decision analysis using Charlie Munger-style multiple mental models, inversion, incentive mapping, circle-of-competence checks, misjudgment audits, second-order effects, and forecast updates. Use when the user asks for an oracle take, a hard call, a decision memo, a premortem, an outside view, a red-team, a sanity-check, what am I missing, think this through, or wants a strategy, hire, investment, plan, product, partnership, or major life choice analysed. Avoid for simple factual lookups or time-sensitive legal, medical, or market questions without fresh evidence.
swain-session
IncludedSession management and project status dashboard. Owns the full session lifecycle (start/work/close/resume), focus lane, bookmarks, worktree detection, and tab naming. Also serves as the project status dashboard — shows active epics, progress, actionable next steps, blocked items, tasks, GitHub issues, and recommendations. Worktree creation is deferred to swain-do task dispatch (SPEC-195). Triggers on: 'session', 'status', 'what's next', 'dashboard', 'overview', 'where are we', 'what should I work on', 'show me priorities', 'bookmark', 'focus on', 'session info'.
gandi
IncludedComprehensive Gandi domain registrar integration for domain and DNS management. Register and manage domains, create/update/delete DNS records (A, AAAA, CNAME, MX, TXT, SRV, and more), configure email forwarding and aliases, check SSL certificate status, create DNS snapshots for safe rollback, bulk update zone files, and monitor domain expiration. Supports multi-domain management, zone file import/export, and automated DNS backups. Includes both read-only and destructive operations with safety controls.