.fyi
SkillsMCPPluginsSubagents

Browse by category

DevOps & CI/CD SkillsProductivity & Workflow SkillsOther SkillsProduct & Project Management SkillsDocumentation & Knowledge SkillsCode Review & Refactor SkillsBackend & APIs SkillsAgent Meta & Communication SkillsResearch SkillsSecurity SkillsUX UI & Design SkillsTesting & QA SkillsSee all →

Every Claude Code skill, MCP server, plugin and subagent in one directory. Searchable, comparable, and one command from installed. Live stats from GitHub, npm and PyPI.

We're on Product HuntYour agent's app storeCheck it out →
Agent SkillsMCP ServersPluginsSubagentsCoding Agents
CollectionsOfficial publishersGlossaryFAQBlogSearchSavedFeedback
PrivacyTermsllms.txtSitemap

made with ♥ · © 2026 aaaa.fyi

Independent project · real data from public registries

…/gadaalabs/claude-code-on-steroids
home/skills/gadaalabs/claude-code-on-steroids
gadaalabs avatar

gadaalabs/claude-code-on-steroids

24 skills

View on GitHub
$npx skills add gadaalabs/claude-code-on-steroids
SkillInstalls
arbiterUse when receiving code review feedback, before implementing any suggestion — requires technical verification and reasoned evaluation, not performative…—architectYou MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior.—ascendUse when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions—blueprintUse when you have a spec or requirements for a multi-step task, before touching code—chronicleStore and retrieve patterns from past work using semantic search; adds self-learning capability to Superpowers—commanderUse when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies—exodusUse when you have a written implementation plan to execute in a completely fresh isolated session — no context inheritance, clean slate execution with review…—forgeUse when implementing any feature or bugfix, before writing implementation code—gradientML-specific patterns for data pipelines, model training, MLOps, and evaluation — domain expertise for machine learning engineers—horizonManage context window budget across long sessions — when to compress, what to give subagents, when to start fresh.—hunterUse when encountering any bug, test failure, or unexpected behavior, before proposing fixes—ironcoreState machines, ISRs, RTOS, hardware abstraction, and timing analysis — domain expertise for electrical and embedded systems engineers—legionSelect optimal subagent topology (hierarchical, mesh, ring, star) based on task structure; adds Ruflo-style swarm intelligence to Superpowers—nexusRAG architectures, agent design patterns, prompt engineering, and LLM evaluation — domain expertise for AI application engineers—oraclePre-task intelligence layer — classify complexity, select skill chain, search patterns, assign model tier. Run BEFORE any non-trivial task begins.—pathfinderStructured first-pass exploration of an unfamiliar codebase — what to read, in what order, what to map, what traps to find.—phantomUse when executing implementation plans with independent tasks in the current session—prismUI/UX design intelligence, accessibility, performance, SEO, and data visualization — domain expertise for web and app developers.—sculptorUse when creating new skills, editing existing skills, or verifying skills work before deployment — applies TDD to process documentation with the same Iron Law…—sealUse when implementation is complete and all tests pass — guides branch completion through four structured options (merge, PR, keep, discard) with verification…—sentinelUse when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output…—tribunalUse when completing tasks, implementing major features, or before merging to verify work meets requirements—vaultUse when starting feature work that needs isolation from the current workspace, or before executing implementation plans — creates isolated git worktrees with…—vectorSelect optimal AI model by task complexity — route to cheap/fast models for simple tasks, capable models for complex reasoning—