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Found 7,079 Skills
Creates a comprehensive, context-rich implementation plan through deep codebase analysis, a short clarifying interview, and external research. Accepts a tracker ticket (a Jira/Linear/GitHub key or URL, fetched from the tracker) or a free-form feature request. Use when you have a ticket or feature and need a one-pass-ready plan before writing any code.
Safely start new or continue in-progress Git integration and history operations through verified completion. Use when asked to run or resume a rebase, merge, cherry-pick, or revert; when Git is already in the middle of one of those operations; or for interruption recovery, conflict resolution, ours/theirs interpretation, and deciding when user guidance is required. Continue a detected active operation before considering new work, never choose the integration method, and never guess an unclear next action or resolution.
Initialize, reindex, or manage the git-pkgs dependency database. Use when setting up git-pkgs in a repository for the first time, updating the database after pulling new commits, or checking database status.
Detect a project's toolchain, languages, package managers, test runners, linters, and conventions. Use when starting work on a project, onboarding to a codebase, or checking what tools are configured. Also detects tooling gaps and fetches external metadata.
Set up state-of-the-art context engineering for any repository. Analyzes codebase, generates multi-level CLAUDE.md/AGENTS.md hierarchy, hooks, session management, and token budgets. Based on 200+ sources including ETH Zurich, Anthropic, Google DeepMind, and Manus production data. For engineers who ship with AI agents.
Explore codebase before committing to a change. Phase executor skill for specs.explore command.
MariaDB-specific features and capabilities that go beyond standard MySQL. Use when evaluating MariaDB, optimizing an existing MariaDB application, reviewing code or schema for MariaDB improvements, asking what MariaDB can do that other databases cannot, or migrating from Oracle to MariaDB. Also use when the user asks what could be improved in how a codebase uses MariaDB, or asks about MariaDB advantages over MySQL or PostgreSQL.
Audit a rules document (SKILL.md, CLAUDE.md, AGENTS.md, or convention doc) and propose updates that leverage what the current Claude version knows natively. Classifies each rule as Keep / Sharpen / Add-rationale / Redundant / Stale, proposes Missing rules from the shared quality baseline, and applies all proposed changes only on one explicit confirmation. A guided --interactive mode replaces the batch confirmation with per-rule decisions.
Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf. Team-scope sibling to second-brain (which is personal-scope). Seven modes — capture (drop something into the right structured dir), compile (process into wiki pages, update INDEX.md), query (answer from the corpus with trust weighting, save to outputs/), review (triage queue — verify / deprecate / supersede unreviewed and stale captures so wrong info never becomes context), lint (orphans / stale / contradictions / gaps), connect (suggest new wikilinks), search (quick lookup). Structured raw dirs (people/, companies/, meetings/, sops/, decisions/, customer-language/, recurring-questions/, sales-objections/) instead of second-brain's flat type-prefixed raw/. Multi-author aware — every capture stamps author + timestamp + trust status. Optional auto-sync from Fathom/Gong/Granola call transcripts, Slack/email exports, CRM. Defaults to a vault at ${COMPANY_BRAIN_VAULT:-$HOME/Documents/CompanyBrain}/. Triggers on "/company-brain," "/cb," "capture this into the team brain," "log this meeting," "add this person to the team brain," "save this SOP," "compile the company wiki," "query the team brain," "what does the team know about X," "review the company brain," "cull the team brain," "lint the company brain," "who's the internal expert on X."
Generate or update project documentation verified against the codebase
codebase intel | map graphify docs learnings mempalace
Guide existing codebase onboarding through mapping, doc ingest, and planning setup