11 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 11 plugins that match these filters.
skill-routerAnamKwon/agent-skill-router1
agentic-engineeringaffectionatec/agentic-engineering1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplace14 bundled product skills with 19 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs-product + /cs-grill-product + /cs-product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo, design-qa (UI finish gate: inert controls, missing states, rendered WCAG 2.2 checks). Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer, design-qa.
9 project management skills with 15 Python tools: pm-skills fork-orchestrator with agentic delivery loop (deterministic 8-lane router, Jira MCP snapshot bridge to Kanban flow metrics + Monte Carlo forecasts, delegation-governance gate, /cs-pm + /cs-grill-pm + /cs-pm-loop), senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template creator, meeting analyzer, team communications. Bundled Atlassian Remote MCP.
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
Disciplined multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. 9-phase pipeline (reframe into falsifiable hypotheses, plan, capability discovery, parallel sub-agent fan-out, score & triangulate, synthesize + adversarial pass, verify, refresh targets). Triangulates every thesis against >=3 independent differently-typed sources; per-source files with verbatim quotes; never fabricates a citation. Auditable, reusable folder + delta-update refresh protocol. Contributed via PR #851.
Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals, else runs own 8-step plan-decompose-search-synthesize-cite fallback. Routing transparency mandatory. Path-B from megaprompt 13.
Find optimal DEX routes for token swaps across multiple exchanges
PI (Wisdom-in-Action) Engine v10 — zero-question imperatives, ⚡PI-01~05 KV-Cache anchors, scene router, delivery quality gates, four dojos
Model/effort router: delegate a task you CAN do but is large+cheap DOWN to a lower tier to save tokens; escalate a task beyond the current tier UP for quality — up to the fable rung, the top of the ladder (a consent-gated, real-money spawn). Two-knob routing (tier × effort, effort-before-tier), an alias-floor tier ranking (haiku<sonnet<opus<fable + modelTiers pins) the platform resolves at spawn-time, a validity-gated ranking Lock that never routes on broken state, and git-optional damage control. Advise-only Phoenix-pure hook; the model performs the routing. Claude Code only.
Route large skill libraries through category router skills and organize new skills via agent-authored routing plans.
workflowTen skills forming a documentation chain: AGENTS.md entry point, PRD, technical specs, ADRs, implementation plans, status tracking with crash recovery, a git workflow with evidence-carrying PRs, an independent verification gate, gated documentation maintenance, and a brownfield onboarding on-ramp — plus a bundled verifier agent and router + run-loop drivers shipped as both commands and skills (works in Claude Code, GitHub Copilot CLI, and Codex). The harness layer for long-running, loop-driven development.
workflowsConfigure OpenRouter as an OpenAI-compatible endpoint, API key in env only
