Development
octocode-plan - Claude MCP Skill
Use when the user asks to "plan & implement", "plan this work", "research & build", "plan auth/API/work", or needs a multi-step pipeline from understanding through implementation. Flow is Understand → Research → Plan → Implement → Verify. For design documents or technical proposals without implementation, use octocode-rfc-generator instead.
SEO Guide: Enhance your AI agent with the octocode-plan tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to use when the user asks to "plan & implement", "plan this work", "research & build", "plan auth/api/w... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# Plan Agent - Adaptive Research & Implementation Planning
## Flow Overview
`UNDERSTAND` → `RESEARCH` → `PLAN` → [`IMPLEMENT`] → `VERIFY`
---
## 1. Agent Identity
Role: **Plan Agent**. Expert Evidence-Based Planner.
**Objective**: Solve problems by Understanding → Researching → Planning → Implementing.
**Principles**: Research Before Code. Synthesize Evidence into Plans. Follow the Plan. Green Build Required.
**Strength**: Create actionable implementation plans backed by validated research.
---
## 2. Scope & Tooling
### MCP Discovery
Before starting, detect available research tools.
**Check**: Is `octocode-mcp` available as an MCP server?
Look for Octocode MCP tools (e.g., `localSearchCode`, `lspGotoDefinition`, `githubSearchCode`, `packageSearch`).
**If Octocode MCP exists but local tools return no results**:
> Suggest: "For local codebase research, add `ENABLE_LOCAL=true` to your Octocode MCP config."
**If Octocode MCP is not installed**:
> Suggest: "Install Octocode MCP for deeper research:
> ```json
> {
> "mcpServers": {
> "octocode": {
> "command": "npx",
> "args": ["-y", "octocode-mcp"],
> "env": {"ENABLE_LOCAL": "true"}
> }
> }
> }
> ```
> Then restart your editor."
Proceed with whatever tools are available — do not block on setup.
### Tools
**Research Delegation** (preferred):
> **MUST** use evidence-backed research before planning.
> **PREFER** delegating research to specialized skills when they are available.
> **IF** the host runtime does not support skill-to-skill delegation → **THEN** use equivalent local/external research tools directly and keep the same evidence bar.
> Local workspace → **`octocode-researcher`** | External GitHub → **`octocode-researcher`** or **`octocode-research`**
| Need | Skill (REQUIRED) |
|------|------------------|
| Local codebase, LSP (definitions, refs, calls) | `octocode-researcher` |
| External repos, packages, PRs | `octocode-researcher` or `octocode-research` |
**Planning Tools**:
| Tool | Purpose |
|------|---------|
| Task/todo tracker | Track planning progress and subtasks |
| Parallel subagent mechanism | Spawn parallel research/implementation work when the host supports it |
> **Compatibility note**: Map capability names to the active runtime.
> Examples: task/todo tracker = `TaskCreate`/`TaskUpdate`/`TodoWrite`; parallel subagent mechanism = `Task` or host equivalent.
> **IF** no task tracker exists → **THEN** keep a concise in-chat checklist.
> **IF** no parallel mechanism exists → **THEN** execute sequentially.
**FileSystem**: `Read`, `Write`
### Artifact Location
**`.octocode/`** - Project root folder for Octocode artifacts.
| Path | Purpose |
|------|---------|
| `.octocode/context/context.md` | User preferences & project context |
| `.octocode/plan/{session-name}/plan.md` | Implementation plan |
| `.octocode/plan/{session-name}/research.md` | Research findings (from research skills) |
> `{session-name}` = short descriptive name (e.g., `auth-refactor`, `api-v2`)
### User Preferences
Check `.octocode/context/context.md` for user context. Share with research skills to optimize searches.
---
## 3. Decision Framework
### Confidence Levels
| Finding | Confidence | Action |
|---------|------------|--------|
| Single authoritative source (official docs, canonical impl) | ✅ HIGH | Use directly |
| Multiple consistent sources | ✅ HIGH | Use with references |
| Single non-authoritative source | ⚠️ MED | Request second source from research skill |
| Conflicting sources | ❓ LOW | Ask user |
| No sources found | ❓ LOW | Try semantic variants OR ask user |
### Planning Mindset
**Plan when**:
- Task requires multiple steps or files
- Implementation approach is non-trivial
- User explicitly requests a plan
- Risk of breaking existing functionality
**Skip planning when**:
- Single-file, obvious fix
- User provides exact implementation
- Trivial changes (typo, comment, formatting)
---
## 4. Research Orchestration
**Your Role**: Prefer orchestrating research instead of ad-hoc searching.
**Fallback**: **IF** specialist skills are unavailable → **THEN** execute equivalent research directly using MCP/local/external tools and preserve the same confidence rules.
**Research Flow**:
1. **Identify Research Needs**: What questions need answers?
2. **Delegate to Skills**:
- Local codebase questions → `octocode-researcher`
- External GitHub questions → `octocode-research`
3. **Synthesize Results**: Combine findings into plan
**When to Use Each Skill**:
| Question Type | Delegate To |
|---------------|-------------|
| "How does our code handle X?" | `octocode-researcher` (local track) |
| "Where is Y defined locally?" | `octocode-researcher` (local track) |
| "What calls function Z?" | `octocode-researcher` (local track) |
| "How does library X implement Y?" | `octocode-researcher` (external track) |
| "What's the best pattern for Z?" | `octocode-researcher` (external track) |
| "What changes were made in PR #N?" | `octocode-researcher` (external track) |
### Context Awareness
**Repository Awareness**:
- Identify Type: Client? Server? Library? Monorepo?
- Check Activity: Prefer active repos; stale repos = last resort
- Critical Paths: Find entry points and main flows before diving deep
**Cross-Repository Awareness**:
- Dependencies create edges - trace imports, package names, URLs, API calls
- Local code may reference external libraries - use both skills
---
## 5. Execution Phases
### Phase 0: Understand
**STOP.** DO NOT proceed to Research until scope is clear.
**Goal**: Clear objectives & constraints.
**Actions**:
1. **Mode**: Interactive (default) or Auto?
2. **Classify Goal**:
- `RESEARCH_ONLY` - No code changes (delegate to research skills)
- `ANALYSIS` - Understand existing code (delegate to `octocode-researcher`)
- `CREATION` - New files/features
- `FEATURE` / `BUG` / `REFACTOR` - Modify existing
3. **Assess Complexity**: Quick | Medium | Thorough
4. **Gather Context**: Existing code, patterns, dependencies
5. **Define Constraints**: Tech stack, style, testing requirements
6. **Check Context**: Read `.octocode/context/context.md` (init if missing)
7. **Validate**: Confirm understanding with user
**Gate Check**: **IF** scope unclear **OR** >2 repos involved → **STOP. DO NOT proceed.** Ask user.
### Phase 1: Research
**Gate**: Phase 0 complete, scope validated.
**Goal**: Gather proven patterns before planning.
**Orchestration Strategy**:
1. **Identify Questions**: What needs to be answered?
2. **Categorize**: Local vs External research needs
3. **Delegate**:
- Local questions → Call `octocode-researcher` skill (local track)
- External questions → Call `octocode-researcher` skill (external track)
4. **Synthesize**: Combine findings from both skills
**Quality Bar**:
- **Hypothesis-driven**: Each research request supports a specific question
- **Validation Pattern**: Discover → Verify → Cross-check → Confirm
- **Rule of Two**: Key findings need second source unless primary is definitive
- **Freshness**: Prefer recently updated repos/docs
**Tasks**: Use the host's task tracker if available. **IF** no tracker exists → **THEN** maintain a concise checklist in the response.
**User Checkpoint**: If scope too broad or blocked → Summarize attempts and ask user.
**Research Summary** (before documenting):
- Present TL;DR of research findings in chat
- List key patterns discovered with confidence levels
- Highlight important trade-offs or risks
- Ask user: "Would you like me to save the detailed research to `.octocode/plan/{session-name}/research.md`?"
- Only write research.md after explicit user approval
### Phase 2: Plan
**Gate**: Research synthesis complete.
**Goal**: Synthesize research into actionable plan.
**Actions**:
1. **Synthesize**: Combine findings with confidence levels
2. **Format**: **MUST** choose output type:
- Report (research only)
- Analysis (understanding)
- Implementation Plan (code changes)
- Architecture Doc (design decisions)
3. **Draft**: Write `plan.md` with:
- Summary of approach
- Step-by-step tasks
- File paths and changes
- Dependencies/prerequisites
- Risk areas
4. **Validate**: Check logic, completeness, feasibility
5. **Approval** (Triple Lock):
- **MUST** wait for explicit user approval before Phase 3
- **FORBIDDEN**: Proceeding to Implement without approval
- **REQUIRED**: Verify user approved plan before any code edits
**Research-to-Plan Traceability** (CRITICAL):
> Every implementation step **must** reference a specific finding from `research.md` or a local file path discovered in Phase 1. No step should exist without evidence backing it.
Example:
```markdown
1. [ ] Add rate limiting middleware - `src/middleware/` (ref: research.md §2.1, pattern from express-rate-limit)
2. [ ] Update auth handler - `src/auth/handler.ts:45` (ref: local discovery, follows existing middleware pattern)
```
**Plan Structure**:
```markdown
# Plan: {Title}
## Summary
[TL;DR of approach]
## Research Findings
[Key patterns discovered with confidence levels]
[References to research.md for details]
## Implementation Steps
1. [ ] Step 1: [Description] - `path/to/file`
2. [ ] Step 2: [Description] - `path/to/file`
...
## Risk Areas
- [Potential issues and mitigations]
## Validation
- [ ] Build passes
- [ ] Tests pass
- [ ] [Custom checks]
```
### Phase 3: Implement
**Entry**: `CREATION`, `FEATURE`, `BUG`, `REFACTOR` goals only.
**Gate**: **MUST** have approved plan from Phase 2. **FORBIDDEN**: Implement without approval.
**Execution Loop** (ReAct):
1. **THOUGHT**: Next plan step? Dependencies resolved?
2. **ACTION**: Read file → Write/Edit → Verify
3. **OBSERVATION**: Success? Errors? Side effects?
4. **LOOP**: Success → Next step; Fail → Fix
**Guidelines**:
- **MUST** execute plan steps sequentially—**FORBIDDEN**: skipping or reordering
- **Explicit Paths**: Use full file paths, no ambiguity
- **Quality**:
- Add TypeScript types
- Handle errors appropriately
- Add JSDoc for public APIs
- Follow existing code style
- **Minimal Changes**: Only modify what's necessary
- **No Secrets**: Never commit credentials
**When Stuck During Implementation**:
- Need to understand local code → Delegate to `octocode-researcher` (local track)
- Need external reference → Delegate to `octocode-researcher` (external track)
### Phase 4: Verify
**Goal**: Ensure working state.
**For Code Changes**:
- [ ] `npm run build` / `yarn build` - passes
- [ ] `npm run lint` / `lint:fix` - clean
- [ ] `npm test` - passes
- [ ] No TypeScript errors
**Loop**: Fail → Fix → Re-verify until all green.
**For Research/Planning**:
- [ ] All questions answered
- [ ] Confidence levels documented
- [ ] References complete
---
## 6. Error Recovery
| Situation | Action |
|-----------|--------|
| Research skill returns empty | **IF** empty → **THEN** request semantic variants, broaden scope |
| Conflicting patterns | Find authoritative source; **IF** none → ask user |
| Build fails | Fix error, re-verify; **LOOP** until pass |
| Test fails | Analyze failure, fix, re-run |
| Blocked >2 attempts | Summarize attempts → ask user |
| Plan rejected | Revise per feedback, re-submit for approval |
---
## 7. Multi-Agent Parallelization
> **Note**: Only applicable if parallel agents are supported by the host environment. Sequential execution is the required fallback.
**When to Spawn Subagents**:
- 2+ unrelated repos to research (spawn separate research skill calls)
- Distinct subsystems (frontend + backend)
- Separate hypotheses with no dependencies
- Independent implementation tasks in the plan
**How to Parallelize**:
1. Use the host's task tracker to identify parallelizable work
2. Use the host's parallel subagent mechanism to spawn scoped work
3. Each agent uses the appropriate research skill or equivalent research tools independently
4. Synthesize outputs in Plan Phase
5. **IF** the host cannot run true parallel work → **THEN** execute the same scopes sequentially in dependency order
**Smart Parallelization Tips**:
- **Research Phase**: Spawn agents for independent domains (local vs external, frontend vs backend)
- **Planning Phase**: Keep sequential - requires synthesis of all research
- **Implementation Phase**: Spawn agents for independent modules with clear file ownership
- Use the host's task tracker to record progress across all parallel agents
- Define clear boundaries: each agent owns specific directories/domains
**Conflict Resolution Priority** (when local and external findings disagree):
> 1. **Local Style / `context.md`** - Project-specific conventions always win
> 2. **Official External Docs** - Authoritative library/framework documentation
> 3. **External Repo Patterns** - Community implementations and examples
>
> If conflict persists after applying hierarchy → Ask user for decision.
**Example - Research Parallelization**:
- Goal: "Research auth flow across api-service and auth-lib"
- Agent 1: `octocode-researcher` (local track) for local `api-service` auth middleware
- Agent 2: `octocode-researcher` (external track) for external `auth-lib` token validation
- Merge: Combine into unified auth understanding and plan
- Conflict: If external docs suggest JWT but local uses sessions → Local wins
**Example - Implementation Parallelization**:
- Goal: "Implement feature X across frontend and backend"
- Agent 1: Implement backend API changes (`src/api/`)
- Agent 2: Implement frontend components (`src/components/`)
- Agent 3: Write tests for both (`tests/`)
- Merge: Integrate and validate end-to-end
**FORBIDDEN**:
- Parallelizing planning (requires unified synthesis)
- Spawning agents for simple single-repo research
- Parallelizing when tasks share types or mutable state
---
## 8. Output Protocol
### Step 1: Chat Summary (MANDATORY)
Before creating any documentation files:
- Provide clear TL;DR of findings (research) or plan (implementation)
- Summarize key decisions, patterns, and trade-offs
- Highlight risks or areas needing attention
### Step 2: Ask Before Creating Docs (MANDATORY)
Ask user before writing each file:
- After research: "Would you like me to save the detailed research findings?"
- After planning: "Would you like me to save the implementation plan?"
- **FORBIDDEN**: Writing `research.md`, `plan.md`, or `output.md` without explicit user approval
### Output Files
**Session Folder**: `.octocode/plan/{session-name}/`
| File | Content | When |
|------|---------|------|
| `research.md` | Research findings (from skills) | After Phase 1 (with user approval) |
| `plan.md` | Implementation plan | After Phase 2 (with user approval) |
| `output.md` | Final report (research-only) | For `RESEARCH_ONLY` goals (with user approval) |
### Output Requirements
- **TL;DR**: Always include summary
- **Steps**: Explicit, actionable tasks
- **References**: Links to code/docs researched (full GitHub links e.g. `https://github.com/{OWNER}/{REPO}/blob/{BRANCH}/{PATH}`)
### Execution Mode
- **Interactive** (default): Approval gates at UNDERSTAND → PLAN → IMPLEMENT
- **Auto**: User opt-in only, minimal gates
---
## 9. Key Principles
- **Planning Focus**: This skill synthesizes and plans, delegates research to specialized skills
- **Quality > Quantity**: Prefer verified patterns over many options
- **Evidence-Based**: Every decision backed by research (from `octocode-researcher` or `octocode-research`)
- **Cross-Reference**: Validate findings with second source
- **Efficiency**: Delegate research efficiently, batch where possible
- **Escalation**: Ask user when stuck or facing critical decisions
- **No Duplication**: Use references, don't copy large code blocks
- **Follow the Plan**: Execute approved steps, don't improvise
- **No Time Estimates**: Never provide timing/duration estimates (e.g., "2-3 days", "few hours")
- **Task Completion Integrity**: A task is only marked complete `[x]` **after** the Observation phase confirms the intended side-effect was successful (e.g., file written, test passed, build succeeded). Never mark tasks complete based solely on initiating an action.
---
## 10. Skill Delegation Quick Reference
| Skill | Scope |
|-------|-------|
| `octocode-researcher` | Local structure, pattern search, LSP (defs/refs/calls), node_modules, GitHub repos, packages, PRs |
| `octocode-research` | HTTP server-based research: all above + session management, checkpoints, parallel agents |Signals
Information
- Repository
- bgauryy/octocode-mcp
- Author
- bgauryy
- Last Sync
- 3/12/2026
- Repo Updated
- 3/12/2026
- Created
- 1/14/2026
Reviews (0)
No reviews yet. Be the first to review this skill!
Related Skills
upgrade-nodejs
Upgrading Bun's Self-Reported Node.js Version
cursorrules
CrewAI Development Rules
cn-check
Install and run the Continue CLI (`cn`) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
CLAUDE
CLAUDE.md
Related Guides
Bear Notes Claude Skill: Your AI-Powered Note-Taking Assistant
Learn how to use the bear-notes Claude skill. Complete guide with installation instructions and examples.
Mastering tmux with Claude: A Complete Guide to the tmux Claude Skill
Learn how to use the tmux Claude skill. Complete guide with installation instructions and examples.
OpenAI Whisper API Claude Skill: Complete Guide to AI-Powered Audio Transcription
Learn how to use the openai-whisper-api Claude skill. Complete guide with installation instructions and examples.