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Found 9,990 Skills
Ingests and prepares codebase documentation, builds internal knowledge graphs, and creates optimized context representations for downstream analysis tasks.
Update documentation based on lessons learned. Use after completing work to capture learnings and prevent future issues.
Operate the joelclaw Telegram channel — primary mobile interface between Joel and the gateway. Covers grammy Bot API, text/media/reactions, inline buttons, callbacks, and streaming.
Use this when you are exploring the codebase. It lets you ask the AI who wrote code questions about how things work and why they chose to build things the way they did. Think of it as asking the engineer who wrote the code for help understanding it.
Manage tasks using the fine CLI. Use this skill whenever the user asks to create, view, update, or work with tasks, project requirements, feature specs, or work tracking through markdown files. Also use it when the user mentions "fine" in the context of project management, or asks about task status, step progress, or wants to break work into tracked steps.
Traditional development workflow skill for product requirement intake, engineering research, technical planning, task breakdown, implementation, testing, bugfix loop, and engineering review. Use when a user wants to run or continue a structured software delivery workflow that mirrors real product-development collaboration.
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
Execute all plans in a phase with wave-based parallelization
Automatically persist useful context — research, decisions, learnings, templates — to workspace files so knowledge survives across conversations.
Turn a rough idea into a structured prompt or skill scaffold with explicit objective, inputs, workflow, outputs, and a concrete file plan. Use this whenever the user wants to design a new prompt or skill, scaffold a skill-like workflow, mentions "scaffold," "blueprint," "structure," or "plan" for a prompt, or arrives with a vague request that needs to be shaped before implementation — even if they don't explicitly ask to scaffold.
Use when creating a new skill, adding a skill to the user's setup, or the user says "make this a skill". All personal skills live in the arjit-skills monorepo and are symlinked into place.
DeepMind Researcher: AGI through deep understanding, AlphaGo/AlphaZero RL, AlphaFold scientific discovery, Gemini multimodal, neuroscience-inspired architectures. Scientific rigor + industrial scale. Triggers: DeepMind research, AlphaGo algorithms, protein folding AI, scientif...