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Found 27 Skills
Create detailed implementation plans through an interactive process with research, code snippets, and structured deliverables. Use this skill when planning significant features, refactoring tasks, or complex implementations that require thorough analysis and structured documentation. The skill guides through context gathering, research, design decisions, and generates comprehensive plans with test strategies and success criteria.
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Planning agent that creates implementation plans and handoffs from conversation context
Research GitHub, GitLab, and Bitbucket repositories using DeepWiki MCP server. Use when exploring unfamiliar codebases, understanding project architecture, or asking questions about how a specific open-source project works. Provides AI-powered repo analysis and RAG-based Q&A about source code. NOT for fetching library API docs (use fetching-library-docs instead) or local files.
Produces a standalone multi-page research dossier on the jackin' docs site from a brief, drawing on web and codebase evidence. Use when the operator runs /jackin-dev:research.
Generate comprehensive implementation tutorial documents with deep background, context, rationale, and step-by-step milestones. Use when the user wants to learn by building—creating detailed guides instead of making direct code changes. Triggers on requests like "create a tutorial for", "implementation guide", "teach me how to implement", or explicit /tutorial invocation.
Research codebase, write concrete implementation plan. Use after brainstorming.
Research codebase comprehensively using parallel sub-agents to answer user questions. Use when the user asks to "research the codebase", "understand how X works", or "investigate Y".
Research a codebase and create architectural documentation describing how features or systems work. Use when the user asks to: (1) Document how a feature works, (2) Create an architecture overview, (3) Explain code structure for onboarding or knowledge transfer, (4) Research and describe a system's design. Produces markdown documents with Mermaid diagrams and stable code references suitable for humans and AI agents.
Research and draft a response to a GitHub issue or question from an external contributor.
This skill should be used when a team wants to create or refine the technical guidelines document — for example "create the tech steering doc", "document our tech stack", "write the technical guidelines", "document our architecture decisions", "set up the tech steering", or "update the tech doc". Generates docs/steering/TECH.md as a living document capturing the stack, architecture patterns, constraints, commands, and ADRs. Generated once and refined — not regenerated from scratch.
Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Treats the current output as junior work, constructs a senior reviewer whose domain expertise comes from live codebase research plus web research of current best practices, diagnoses altitude failures (too vague or too granular), then rewrites the plan into a scoped, state-of-the-art version. Use when the user says "junior to senior", "senior review", "review this like a staff engineer", when a plan feels hand-wavy or lost in details, or before committing to any agent-written plan.