- Home
- Skills
- Bgauryy
- Octocode Mcp
- Octocode Plan
octocode-plan_skill
- TypeScript
725
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill bgauryy/octocode-mcp --skill octocode-plan- SKILL.md15.1 KB
Overview
This skill plans multi-step engineering work by orchestrating evidence-driven research and producing actionable implementation plans. It enforces a strict Understand → Research → Plan → Implement → Verify flow and never guesses—every recommendation must be validated. It integrates with local and external research tools and generates traceable plans with explicit file paths and references.
How this skill works
The agent first clarifies scope, constraints, and desired mode (interactive vs auto) before delegating research to specialized skills: a local code search for workspace questions and an external research skill for public repos and docs. It synthesizes findings with confidence levels, drafts a step-by-step implementation plan that references evidence, and requires explicit user approval before any code edits. Verification steps and risk mitigations are included for each plan.
When to use it
- When you ask to “plan this feature”, “plan refactor”, or “research & plan”
- When changes span multiple files, systems, or repositories
- When you need evidence-backed choices (patterns, libraries, APIs) before coding
- When there’s risk of breaking existing functionality or unclear design trade-offs
- When you want explicit task tracking and traceability from research to implementation
Best practices
- Always run Phase 0: confirm scope and constraints before any research
- Delegate local code questions to the local search skill and external questions to the research skill
- Require at least two sources or an authoritative primary source for key decisions
- Write clear plan steps with full file paths and direct references to research findings
- Hold a mandatory approval gate before implementing any plan steps
Example use cases
- Plan an auth refactor: discover local auth flows, research best practices, produce stepwise migration plan with tests
- Research & plan API versioning: gather local endpoints and external docs, produce backward-compatibility steps and rollout strategy
- Plan a feature spanning frontend and backend: spawn parallel research tasks, synthesize into a unified implementation plan
- Refactor a module safely: map usages, propose minimal edits, list pre- and post-conditions and validation steps
FAQ
It requires evidence from local files or external authoritative sources, applies a Rule of Two for non-authoritative findings, and annotates confidence for each conclusion.
Will it modify code without my approval?
No. The plan must be explicitly approved before any implementation steps begin; implementation without approval is forbidden.