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Plugins
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End-to-end incident response automation. Read Jira -> analyze logs -> clone repo -> TDD -> fix -> PR.
Analyzes and fixes GitHub issues using a structured approach with GitHub CLI for issue details, implementing necessary code changes, running tests, and creating proper commit messages.
Fizzy workflows for boards, cards, comments, setup, self-hosted management, and MCP connector access.
Agent skills for the FlagOS multi-chip AI inference platform. Includes kernel generation and optimization, model migration, environment verification, vendor onboarding, and more.
FlashDuty assistant for incident management, diagnosis, team collaboration, and SRE best practices (Community)
Write FlatPPL models, answer questions about the language, and learn it from a guided curriculum, grounded in the public FlatPPL design spec. Bundles the flatppl-docs, flatppl-model, and flatppl-learn skills.
Skills bundle: /triage, /diagnose, /feedback-loop, plus tracker adapters (Linear, GitHub). Drives a tracker issue from raw inbox into a state where Valesco's autonomous CLI (runway) can pick it up. Vendor-agnostic via the tracker adapter contract.
Workflow meta-tools: discuss (discussion mode), research, sidetrack, worktree isolation, mediocre redo, commit-push-pr, learn, tidy-permissions, plus issue-creator and code-simplifier agents.
Zero-dependency planning + execution with .flow/ task tracking and Ralph autonomous mode (multi-model review gates). Worker subagent per task for context isolation. Includes 20 subagents, 11 commands, 16 skills.
Base commands and skills for development workflows (commit, plan, review, init, etc.)
Opt-in beta capabilities not yet promoted to core. Ships the doc-anchors-validate Stop hook (SALP anchor/reference integrity check; Claude Code only), the select-llm-model skill (task-driven LLM recommender; live-fetched leaderboard data), and cross-IDE delegation (ai-ide-runner one-shot relay / fan-out, delegate-to-ide + worker isolated-context subagent).
Deno-specific skills (CLI, deploy, configure commands)
Skill and agent authoring tools (engineer-skill, engineer-command, benchmarks, etc.)
Procedural engineering knowledge (deep-research, fix-tests, draw-diagrams, write-prd, etc.)
Memex — long-term knowledge bank for AI agents. Skills that ingest sources, answer questions with citations, and audit the bank for orphans, dead links, and contradictions.
TypeScript-specific setup skills (code style, strict mode)
Backlog management for Claude Code — tasks, ideas, reports, and learnings, all in plain files.