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skill-writing-plans

Turn a multi-step feature into an implementation plan that another engineer can follow without prior context. The plan includes exact file paths, complete code, test commands, expected results, and small, verifiable steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Create zero-context implementation plans with bite-sized tasks — use for multi-step feature planning

설치 방법 보기

이럴 때 유용합니다

  • Planning a feature with multiple implementation steps
  • Handing development work to another engineer or agent
  • Breaking a complex refactor into verifiable tasks

포함된 파일(2)

  • SKILL.md8.8 KB
  • agents/openai.yaml169 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex. Cross-reference commands use installed skill names in Codex rather than /octo:* slash commands. Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it. For host tool equivalents, see skills/blocks/codex-host-adapter.md.

Writing Plans

Load skills/blocks/engineering-method-selection.md from the installed plugin and apply only the methods relevant to this task. Preserve this entry point's execution contract and output format. Read referenced skills as instructions; do not invoke the current command recursively or add provider calls from a seat.

MANDATORY COMPLIANCE — DO NOT SKIP

When this skill is invoked, you MUST produce a full implementation plan following the structure below. You are PROHIBITED from:

  • Skipping the plan and jumping straight to implementation
  • Producing a vague outline instead of the zero-context plan format
  • Deciding the task is "simple enough" to not need a plan
  • Omitting file paths, complete code, test instructions, or verification steps

The user asked for a plan, not an implementation. Write the plan first.

Your first output line MUST be: 🐙 **CLAUDE OCTOPUS ACTIVATED** - Implementation Planning

Overview

Write comprehensive implementation plans assuming the engineer has zero context for the codebase and questionable taste.

Document everything: which files to touch, complete code, how to test, how to verify.

Principles: DRY. YAGNI. TDD. Frequent commits.

Decisions before tasks

Build a dependency graph for unresolved decisions before writing implementation tasks. A decision record contains its question, evidence required, dependencies, owner, resolution, and the implementation it unblocks. Use the repository's configured tracker. Beads is not an end-user requirement.

Decision states are open, claimed, resolved, superseded, and blocked, mapped to native tracker states or labels. Resolve only from evidence or a recorded human decision. If new evidence invalidates a decision, reopen its dependent work and explain why. A cycle means the work is not ready; recut the decisions rather than marking tasks ready.

Claim through the tracker's atomic operation and read ownership back before writing. If atomic claiming is unavailable, appoint one integrator. Never overwrite another claim. When the tracker fails, save an explicitly unfiled proposal in existing plan storage, stop tracker writes, and never fabricate IDs or migrate a database.

Plan Document Structure

Header (Required)

# [Feature Name] Implementation Plan

**Goal:** [One sentence describing what this builds]

**Architecture:** [2-3 sentences about approach]

**Tech Stack:** [Key technologies/libraries]

**Estimated Time:** [X tasks × 5 min = Y minutes]


## Prerequisites

- [ ] [Any setup needed before starting]
- [ ] [Dependencies to install]
- [ ] [Files that must exist]

Task Granularity

Each task is ONE action (2-5 minutes):

Good (Single Action)Bad (Multiple Actions)
"Write the failing test""Write tests and implement"
"Run test to verify it fails""Make it work"
"Implement minimal code to pass""Add the feature"
"Commit with message""Finish the feature"

Task Template

### Task N: [Component Name]

**Files:**
- Create: `exact/path/to/new-file.ts`
- Modify: `exact/path/to/existing.ts` (lines 45-67)
- Test: `tests/exact/path/to/test.spec.ts`

**Step 1: Write failing test**

```typescript
// tests/exact/path/to/test.spec.ts
describe('ComponentName', () => {
  it('should do specific thing', () => {
    const result = functionName(input);
    expect(result).toBe(expected);
  });
});

Step 2: Run test to verify it fails

npm test tests/exact/path/to/test.spec.ts

Expected output:

FAIL: expected 'expected' but got undefined

Step 3: Implement minimal code

// exact/path/to/new-file.ts
export function functionName(input: InputType): OutputType {
  // Minimal implementation
  return expected;
}

Step 4: Run test to verify it passes

npm test tests/exact/path/to/test.spec.ts

Expected output:

PASS: 1/1 tests passed

Step 5: Commit

git add tests/exact/path/to/test.spec.ts exact/path/to/new-file.ts
git commit -m "feat(component): add specific functionality"


## Example: Complete Task

```markdown
### Task 3: Add Email Validation

**Files:**
- Create: `src/validators/email.ts`
- Test: `tests/validators/email.spec.ts`

**Step 1: Write failing test**

```typescript
// tests/validators/email.spec.ts
import { validateEmail } from '../src/validators/email';

describe('validateEmail', () => {
  it('returns error for empty email', () => {
    const result = validateEmail('');
    expect(result).toEqual({ valid: false, error: 'Email required' });
  });

  it('returns error for invalid format', () => {
    const result = validateEmail('not-an-email');
    expect(result).toEqual({ valid: false, error: 'Invalid email format' });
  });

  it('returns valid for correct email', () => {
    const result = validateEmail('user@example.com');
    expect(result).toEqual({ valid: true });
  });
});

Step 2: Run test to verify it fails

npm test tests/validators/email.spec.ts

Expected: Cannot find module '../src/validators/email'

Step 3: Implement minimal code

// src/validators/email.ts
interface ValidationResult {
  valid: boolean;
  error?: string;
}

export function validateEmail(email: string): ValidationResult {
  if (!email || !email.trim()) {
    return { valid: false, error: 'Email required' };
  }

  const emailRegex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
  if (!emailRegex.test(email)) {
    return { valid: false, error: 'Invalid email format' };
  }

  return { valid: true };
}

Step 4: Run test to verify it passes

npm test tests/validators/email.spec.ts

Expected: PASS: 3/3 tests passed

Step 5: Commit

git add src/validators/email.ts tests/validators/email.spec.ts
git commit -m "feat(validators): add email validation with tests"


## Integration with Claude Octopus

### Using Octopus for Plan Execution

After creating a plan, offer execution options:

```markdown
## Execution Options

**1. Sequential (this session)**
Execute tasks one by one with verification between each.

**2. Parallel (octopus tangle)**
Use Claude Octopus to parallelize independent tasks:
```bash
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh tangle "Execute implementation plan for [feature]"

3. Full workflow (octopus embrace) Research → Define → Implement → Deliver:

${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh embrace "Implement [feature] per plan"

### Plan Storage (Claude Code v2.1.10)

Claude Octopus uses session-aware plan storage. Plans are automatically saved to:

~/.claude-octopus/plans/${CLAUDE_SESSION_ID}/YYYY-MM-DD-feature-name.md


This integrates with Claude Code's `plansDirectory` setting. To customize:

```json
// settings.json
{
  "plansDirectory": "~/.claude-octopus/plans"
}

For project-local plans, save to docs/plans/:

mkdir -p docs/plans
# docs/plans/2026-01-17-user-authentication.md

Checklist for Good Plans

  • Each task is 2-5 minutes (single action)
  • Exact file paths (not "in the utils folder")
  • Complete code (not "add validation logic")
  • Exact commands with expected output
  • TDD: test before implementation
  • Commit after each task

Common Mistakes

MistakeFix
"Add the validation"Show exact code
"Update the tests"Show exact test code
"In the config file"config/app.config.ts line 23
"Run the tests"npm test path/to/specific.spec.ts
Large tasks (30+ min)Break into 2-5 min steps
No verificationAdd "Run X, expect Y"

When to Create Plans

ScenarioUse Plan?
Multi-step feature (3+ tasks)Yes
Simple bug fix (1 task)No, just do it
Uncertain scopeYes (clarifies thinking)
Delegation to subagentYes (zero-context execution)
Complex refactoringYes
Config changeNo

Related Skills

  • test-driven-development - Each task follows TDD cycle
  • verification-before-completion - Verify each step
  • finishing-branch - After all tasks complete

The Bottom Line

Plan exists → Engineer with zero context can execute
Otherwise → Not a complete plan

Exact paths. Complete code. Verification steps. No assumptions.

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같은 저장소의 스킬

Interpret the saved results of a completed AI council review. Count verdicts, check whether enough participants responded and whether models are independent, surface substantive dissent, and explain what action the outcome supports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Explain a completed council review
  • Check vote counts and quorum
  • Assess model independence and dissent
nyldn/claude-octopus4.3천2026년 10월 22일 업데이트

Turn a technical choice into a structured debate between different AI model families. Assign explicit positions, launch the discussion, and summarize agreement, disagreement, and a recommendation supported by the strongest argument that survives the debate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Compare Redis and Memcached for session storage
  • Debate monorepo versus polyrepo organization
  • Examine a technical choice from opposing positions
nyldn/claude-octopus4.3천2026년 10월 22일 업데이트

Clarify a feature’s requirements with multiple AI providers, combining technical constraints with user and business needs. Produce a scoped definition covering priorities, edge cases, exclusions, and a requirements checklist before implementation begins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Defining requirements for a user authentication system
  • Setting boundaries for a notification feature
  • Identifying technical constraints and edge cases
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Review code or documents with available AI providers before delivery. Combine findings into a scored validation report that checks prior requirements and decisions, separates critical issues from warnings, and recommends next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Review authentication code before release
  • Check API readiness before deployment
  • Review a PRD for missing requirements
nyldn/claude-octopus4.3천2026년 10월 22일 업데이트

Develop complex features or business documents by gathering approaches from available AI providers. Combine their perspectives with prior project decisions and quality checks to produce a proposed plan, then proceed with implementation after user confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Planning and implementing a complex feature
  • Comparing approaches for an external service integration
  • Developing a product requirements document or strategy
nyldn/claude-octopus4.3천2026년 10월 22일 업데이트

Research technical or business questions through multiple available AI providers, each assigned a different perspective. Combine usable results into a report covering findings, disagreements, evidence gaps, priorities, and recommended next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Compare libraries and technical approaches
  • Research markets and competitor strategies
  • Synthesize literature from multiple perspectives
nyldn/claude-octopus4.3천2026년 10월 22일 업데이트

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