.claude/skills/plan-generator/SKILL.md
Creates structured plans from requirements. Generates comprehensive plans with steps, dependencies, risks, and success criteria. Coordinates with specialist agents for planning input and validates plan completeness. Uses template-renderer for formatted output.
npx skillsauth add oimiragieo/agent-studio plan-generatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Before creating a new plan, gather context from recent work to avoid duplication and build on prior decisions:
git log --oneline -5 to see what was recently shippedTaskList() to check for completed tasks with relevant metadata.claude/context/memory/decisions.md for architectural choices that constrain this plan.claude/context/memory/issues.md for known blockers or workaroundsUse this context to:
Parse user requirements:
Request planning input from relevant agents:
Create plan following this EXECUTABLE structure:
# Plan: [Title]
## Executive Summary
[2-3 sentence overview]
## Objectives
- [Objective 1]
- [Objective 2]
## Phases
### Phase N: [Phase Title]
**Dependencies**: [Phase numbers or 'None']
**Parallel OK**: [Yes/No - can tasks run concurrently?]
#### Tasks
- [ ] **N.1** [Task description] (~X min)
- **Command**: `actual shell command here`
- **Verify**: `command to verify success`
- **Rollback**: `command to undo if needed`
- [ ] **N.2** [Task description] (~X min) [⚡ parallel OK]
- **Command**: `...`
- **Verify**: `...`
#### Phase N Error Handling
If any task fails:
1. Run rollback commands for completed tasks (reverse order)
2. Document error: `echo "Phase N failed: [error]" >> .claude/context/memory/issues.md`
3. Do NOT proceed to Phase N+1
#### Phase N Verification Gate
```bash
# All must pass before proceeding
[verification commands]
```
| Risk | Impact | Mitigation | Rollback | | ------ | ------- | ---------- | --------- | | [Risk] | [H/M/L] | [Strategy] | [Command] |
| Phase | Tasks | Est. Time | Parallel? | | ----- | ----- | --------- | --------- | | 1 | 5 | 30 min | Partial | | 2 | 3 | 20 min | No |
### The Executable Task Format (MANDATORY)
Every task MUST include:
1. **Checkbox** - `- [ ]` for progress tracking
2. **ID** - `N.M` format for reference
3. **Time estimate** - `(~X min)`
4. **Command** - Actual executable command
5. **Verify** - Command to confirm success
6. **Rollback** - Command to undo (if applicable)
7. **Parallel marker** - `[⚡ parallel OK]` if can run concurrently
**Enhanced task format with structured completion fields** (verify/done/files are OPTIONAL — omit for backward compatibility):
```markdown
- [ ] **N.1** [Task description] (~X min)
- **Command**: `actual shell command here`
- **Verify**: `pnpm test -- --grep "pattern"` (command proving task is done)
- **Done**: [measurable criteria for "done" — e.g. "All tests pass, lint clean, file exists"]
- **Files**: [`path/to/file1`, `path/to/file2`] (files this task creates or modifies)
- **Rollback**: `command to undo if needed`
```
> **Schema**: Full task structure is documented in `.claude/schemas/plan-format.schema.json`.
> The `verify`, `done`, and `files` fields are optional — existing plans without them remain valid.
### Guidelines
- Define clear objectives
- Break down into phases (<=7 phases total)
- Each phase has <=7 tasks
- Every task has executable commands
- Include verification gates between phases
- For **HIGH** or **EPIC** complexity tasks, invoke `discuss-phase` skill BEFORE generating the plan to surface ambiguities and resolve scope, architecture, and acceptance criteria questions with the user
### Step 4: Assess Risks
Identify risks and mitigation:
- Technical risks
- Resource risks
- Timeline risks
- Dependency risks
- Mitigation strategies
### Step 5: Validate Plan
Validate plan completeness:
- All requirements addressed
- Dependencies mapped
- Success criteria defined
- Risks identified
- Plan is feasible
### Step 6: Generate Artifacts
Create plan artifacts using the template-renderer skill:
**Using Template-Renderer**:
After creating plan data structure, invoke template-renderer to generate formatted output:
```javascript
// Map plan data to template tokens
const planTokens = {
PLAN_TITLE: plan.title,
DATE: new Date().toISOString().split('T')[0],
FRAMEWORK_VERSION: 'Agent-Studio v3.1.0',
STATUS: plan.status || 'Phase 0 - Research',
EXECUTIVE_SUMMARY: plan.executiveSummary,
TOTAL_TASKS: `${plan.totalTasks} atomic tasks`,
FEATURES_COUNT: plan.features.length,
ESTIMATED_TIME: plan.estimatedTime,
STRATEGY: plan.strategy,
KEY_DELIVERABLES_LIST: plan.keyDeliverables.map(d => `- ${d}`).join('\n'),
// Phase-specific tokens
PHASE_0_PURPOSE: plan.phases[0].purpose,
PHASE_0_DURATION: plan.phases[0].duration,
PHASE_1_NAME: plan.phases[1].name,
PHASE_1_PURPOSE: plan.phases[1].purpose,
PHASE_1_DURATION: plan.phases[1].duration,
DEPENDENCIES: plan.phases[1].dependencies,
PARALLEL_OK: plan.phases[1].parallelOk ? 'Yes' : 'No',
VERIFICATION_COMMANDS: plan.phases[1].verificationCommands,
// Add more phase tokens as needed
};
// Invoke template-renderer skill
Skill({
skill: 'template-renderer',
args: {
templateName: 'plan-template',
outputPath: `.claude/context/plans/${planId}.md`,
tokens: planTokens
}
});
```
**Output Locations**:
- Plan markdown (from template): `.claude/context/plans/<plan-id>.md`
- Plan JSON (structured data): `.claude/context/plans/<plan-id>.json`
- Plan summary (for quick reference)
</execution_process>
<plan_types>
**Feature Development Plan**:
- Objectives: Feature goals
- Steps: Analysis -> Design -> Implementation -> Testing
- Agents: Analyst -> PM -> Architect -> Developer -> QA
**Refactoring Plan**:
- Objectives: Code quality goals
- Steps: Analysis -> Planning -> Implementation -> Validation
- Agents: Code Reviewer -> Refactoring Specialist -> Developer -> QA
**Migration Plan**:
- Objectives: Migration goals
- Steps: Analysis -> Planning -> Execution -> Validation
- Agents: Architect -> Legacy Modernizer -> Developer -> QA
**Architecture Plan**:
- Objectives: Architecture goals
- Steps: Analysis -> Design -> Validation -> Documentation
- Agents: Architect -> Database Architect -> Security Architect -> Technical Writer
</plan_types>
<integration>
**Integration with Planner Agent**:
Planner agent uses this skill to:
- Generate plans from requirements
- Coordinate specialist input
- Validate plan completeness
- Track plan execution
</integration>
<best_practices>
1. **Coordinate Early**: Get specialist input before finalizing plan
2. **Keep Steps Focused**: <=7 steps per plan section
3. **Map Dependencies**: Clearly identify prerequisites
4. **Assess Risks**: Identify and mitigate risks proactively
5. **Validate Thoroughly**: Ensure plan is complete and feasible
</best_practices>
</instructions>
<examples>
<formatting_example>
**Example Plan Output**
**Command**: "Generate plan for user authentication feature"
**Generated Plan**:
```markdown
# Plan: User Authentication Feature
## Executive Summary
Add JWT-based authentication with login/logout endpoints. Includes password hashing, session management, and security testing.
## Objectives
- Implement JWT-based authentication
- Support login, logout, and session management
- Provide secure password handling
## Phases
### Phase 1: Setup & Design
**Dependencies**: None
**Parallel OK**: Partial
#### Tasks
- [ ] **1.1** Create feature branch (~2 min)
- **Command**: `git checkout -b feature/auth`
- **Verify**: `git branch --show-current | grep feature/auth`
- [ ] **1.2** Create auth module directory (~1 min) [⚡ parallel OK]
- **Command**: `mkdir -p src/auth`
- **Verify**: `ls -d src/auth`
- [ ] **1.3** Design auth architecture (~15 min)
- **Command**: `Task({ task_id: 'task-1', agent: "architect", prompt: "Design JWT auth..." })`
- **Verify**: `ls .claude/context/artifacts/auth-design.md`
#### Phase 1 Verification Gate
```bash
git branch --show-current | grep feature/auth && ls src/auth && ls .claude/context/artifacts/auth-design.md
Dependencies: Phase 1 Parallel OK: No (sequential TDD)
[ ] 2.1 Write auth endpoint tests (~10 min)
Task({ task_id: 'task-2', agent: "developer", prompt: "TDD: Write failing tests for /login endpoint" })npm test -- --grep "login" 2>&1 | grep -E "failing|FAIL"git checkout -- src/auth/__tests__/[ ] 2.2 Implement login endpoint (~15 min)
Task({ task_id: 'task-3', agent: "developer", prompt: "Implement login to pass tests" })npm test -- --grep "login" 2>&1 | grep -E "passing|PASS"[ ] 2.3 Implement logout endpoint (~10 min)
Task({ task_id: 'task-4', agent: "developer", prompt: "TDD: logout endpoint" })npm test -- --grep "logout" 2>&1 | grep -E "passing|PASS"If any task fails:
git stash && git checkout -- src/auth/echo "Phase 2 failed: $(date)" >> .claude/context/memory/issues.mdnpm test -- --grep "auth" && echo "All auth tests passing"
Dependencies: Phase 2 Parallel OK: Yes
[ ] 3.1 Security audit (~20 min) [⚡ parallel OK]
Task({ task_id: 'task-5', agent: "security-architect", prompt: "Audit auth implementation" })ls .claude/context/reports/security/security-audit.md[ ] 3.2 Run security tests (~5 min) [⚡ parallel OK]
npm run test:securityecho $? (exit code 0)| Risk | Impact | Mitigation | Rollback |
| ------------------- | ------ | --------------------- | ------------------------- |
| JWT secret exposure | High | Use env vars | Rotate secret immediately |
| SQL injection | High | Parameterized queries | git revert HEAD |
| Phase | Tasks | Est. Time | Parallel? | | --------- | ----- | ----------- | --------- | | 1 | 3 | 18 min | Partial | | 2 | 3 | 35 min | No | | 3 | 2 | 25 min | Yes | | Total | 8 | ~78 min | |
**After plan generation**, invoke template-renderer:
```javascript
// Map plan data to tokens
const tokens = {
PLAN_TITLE: 'User Authentication Feature',
DATE: '2026-01-28',
FRAMEWORK_VERSION: 'Agent-Studio v3.1.0',
STATUS: 'Phase 0 - Research',
EXECUTIVE_SUMMARY: 'Add JWT-based authentication with login/logout endpoints...',
TOTAL_TASKS: '8 atomic tasks',
FEATURES_COUNT: '1',
ESTIMATED_TIME: '~78 minutes',
STRATEGY: 'Foundation-first → Core features → Security review',
KEY_DELIVERABLES_LIST: '- Authentication module\n- Login/logout endpoints\n- Security audit',
PHASE_1_NAME: 'Setup & Design',
PHASE_1_PURPOSE: 'Create feature branch and design architecture',
PHASE_1_DURATION: '18 minutes',
DEPENDENCIES: 'None',
PARALLEL_OK: 'Partial',
VERIFICATION_COMMANDS: 'git branch --show-current | grep feature/auth && ls src/auth',
};
// Render plan using template
Skill({
skill: 'template-renderer',
args: {
templateName: 'plan-template',
outputPath: '.claude/context/plans/user-auth-plan.md',
tokens: tokens
}
});
</formatting_example> </examples>
Every plan MUST include this as the LAST task, blocked by all other tasks:
Task: "Final: Self-review + token report"
Example TaskCreate for planners to emit:
TaskCreate({
subject: "Final: Self-review + token report",
description: "1. Run: npx ccusage@latest --model --today — display token costs\n2. Self-review all deliverables: Can I improve this?\n3. If improvements found, queue reflection-spawn-request\n4. NEVER dismiss failures as pre-existing\n5. TaskUpdate(completed, { metadata: { isFinalTask: true, pipelineComplete: true } })",
activeForm: "Running self-review and token report"
})
EVERY TASK MUST HAVE AN EXECUTABLE COMMAND
A task without a command is not a task - it's a wish.
| Anti-Pattern | Problem | Fix |
| --------------------------- | -------------------------- | --------------------------------- |
| "Install X" without command | Not executable | Add: cp -r source dest |
| "Verify Y works" | Vague | Add: npm test \| grep PASS |
| "Update Z" | What file? What change? | Add exact Edit or sed command |
| No time estimates | Can't track progress | Add (~X min) to every task |
| No rollback | Can't recover from failure | Add rollback command |
Before finalizing any plan, verify:
verify command that proves completion objectively?done criteria that is measurable and unambiguous?This skill uses the template-renderer skill to generate formatted plans:
Integration Flow:
.claude/context/plans/Required Tokens (for plan-template):
PLAN_TITLE, DATE, FRAMEWORK_VERSION, STATUSEXECUTIVE_SUMMARY, TOTAL_TASKS, ESTIMATED_TIME, STRATEGYPHASE_N_NAME, PHASE_N_PURPOSE, DEPENDENCIES, PARALLEL_OKVERIFICATION_COMMANDSSee .claude/templates/plan-template.md for complete token list.
template-renderer - Renders plan-template with token replacementwriting-plans - Bite-sized task plans with complete code for implementationdiscuss-phase - Requirement disambiguation for HIGH/EPIC tasks before planningBefore starting:
cat .claude/context/memory/learnings.md
After completing:
.claude/context/memory/learnings.md.claude/context/memory/issues.md.claude/context/memory/decisions.mdASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.
tools
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
tools
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
data-ai
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
development
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.