All Skills

Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.

Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.

Use this skill whenever you call the octocode MCP tools directly to research code — local (localSearchCode, localGetFileContent, localViewStructure, localFindFiles, lspGetSemantics, localBinaryInspect) or GitHub (npmSearch, ghSearchRepos, ghViewRepoStructure, ghSearchCode, ghGetFileContent, ghHistoryResearch, ghCloneRepo). It is the operating guide for picking the right tool, chaining find → map → read → prove, minifying reads, paginating losslessly, and reading the evidence/hints signals. Triggers on "how does X work", "where is Y defined", "who calls Z", "trace this flow", "find usages", "read this file efficiently", "research this repo/package". For multi-step research over the HTTP server, use octocode-research instead.

Use `octocode-cli` subcommands to execute Octocode MCP tools from a terminal without wiring MCP. Use when the user asks to "run octocode from shell", "use octocode without MCP", "call ghSearchCode from CLI", or wants a one-off GitHub code/file/PR search in the terminal.

Use when the user asks to "find X in codebase", "where is Y defined?", "explore this dir", "list files in src/", "trace definitions", "find usages" — local-only. Local codebase exploration via Octocode Local + LSP. No GitHub; for external repos use octocode-research.

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.

This skill should be used when the user asks to "review a PR", "review pull request", "PR review", "check this PR", "analyze PR changes", "review PR #123", "what changes did this PR make", "show me PR diff", "PR comments", "file history", "git blame", "who changed this file", "repo commit history", "is this PR safe to merge", "review my changes", "review local changes", "review my code", "review staged changes", or needs expert code review with architectural analysis, defect detection, security scanning, and commit archaeology. Supports remote PRs (search + deep-read), local changes (staged/unstaged), and commit history (file, directory, repo-wide).

High-level design-system and UI architecture generator for existing or new projects. Uses Octocode MCP local tools first, then creates a dynamic (not rigid) DESIGN.md covering visual language, styling strategy, component architecture, framework constraints, accessibility, performance, responsive behavior, and implementation guidance.

TOON Decode

Create and configure git hooks with intelligent project analysis, suggestions, and automated testing

Use before writing any type of tests. Distills 14 industry sources into deterministic decision gates, schemas, and worked test examples.

Use this agent when adding LLM-as-Judge verification sections to implementation steps in task files. Produces structured per-step evaluation specifications (rubrics, checklists with default quality items, scoring metadata) — Hard Rules + TICK decomposition, principles extraction, RRD refinement, and self-verification.

Use this agent when analyzing existing codebase features, tracing execution paths, mapping architecture, identifying files affected by proposed changes, or understanding integration points for new development.

Use when found gap or repetative issue, that produced by you or implemenataion agent. Esentially use it each time when you say "You absolutly right, I should have done it differently." -> need create rule for this issue so it not appears again.

Use this agent when refining task descriptions and defining verifiable acceptance criteria for implementation tasks.

Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns

First Principles Framework reasoning specialist that executes hypothesis generation, verification, validation, and trust calculus tasks using the ADI (Abduction-Deduction-Induction) cycle and knowledge layer progression (L0/L1/L2)

Use this agent when you need to review code for adherence to project guidelines, style guides, and best practices. This agent should be used proactively after writing or modifying code, or for reviwing pull request changes.

Delegate coding tasks to Google Jules AI agent for asynchronous execution. Use when user says: 'have Jules fix', 'delegate to Jules', 'send to Jules', 'ask Jules to', 'check Jules sessions', 'pull Jules results', 'jules add tests', 'jules add docs', 'jules review pr'. Handles: bug fixes, documentation, features, tests, refactoring, code reviews. Works with GitHub repos, creates PRs.

Convert documents and text to audio using Google Cloud Text-to-Speech. Use this skill when the user wants to: narrate a document, read aloud text, generate audio from a file, convert text to speech, create a recording of documentation or analysis, create a podcast from a document, or use Google TTS/text-to-speech. Trigger phrases: "read this aloud", "narrate this", "create a recording", "text to speech", "TTS", "convert to audio", "audio from document", "listen to this", "generate audio", "google tts", "create a podcast".

Convert documents and text to audio using ElevenLabs text-to-speech. Use this skill when the user wants to create a podcast, narrate a document, read aloud text, generate audio from a file, or convert text to speech.

Direct access to the Enrichr REST API for work the enrichr_analysis MCP tool cannot do — reverse gene lookup (which gene sets contain a gene), downloading a whole library as GMT, unfiltered result tables including non-significant terms, batch enrichment over many gene lists (e.g. per single-cell cluster), and shareable Enrichr web links. Use when the user asks for any of those, or hits a limit of the MCP tool. Do NOT use for ordinary enrichment of a single gene list — the MCP tool is better at that.

Token-Oriented Object Notation (TOON) format expert for 30-60% token savings on structured data. Auto-applies to arrays with 5+ items, tables, logs, API responses, database results. Supports tabular, inline, and expanded formats with comma/tab/pipe delimiters. Triggers on large JSON, data optimization, token reduction, structured data, arrays, tables, logs, metrics, TOON.

Plaid banking API expert for financial data integration. Covers Plaid Link, Auth (account/routing numbers), Transactions, Identity verification, Balance checking, and webhooks. Build fintech apps with bank connections, ACH transfers, and transaction history. Triggers on Plaid, banking API, Plaid Link, bank connection, ACH, financial data, transaction history.