151 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 151 plugins that match these filters.
skillstimharris707/skills1
ai-builder-clubAI-Builder-Club/skills1
gabbeandreibesleaga/GABBE1
pm-claude-skillsmohitagw15856/pm-claude-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceClaude Guide for Product Interviews: 32 Claude skills for preparing product interviews from the job ad to the offer, in eight stages: read the role with a target role brief, a job ad breakdown and an interview loop map; tell your story with a career evidence inventory, a story bank and resume bullets; prepare the cases for product sense, metrics, prioritisation and execution, and app critique; prepare the conversations with behavioural answers, a portfolio or project walkthrough and a mock interview; show how you work with AI with an AI use plan, a fluency answer and a work sample; get in through people you already know; run each process with a take-home plan, round debriefs and a tracker; then decide with an offer comparison and negotiation prep. For product managers, product owners and product designers with years of shipped work. Claude helps you prepare and practise from work you really did; it never invents a role, a result or a number, and it stays out of the live interview.
productivitySeventeen skills that ship as one pack — a portable discipline for tracked, multi-session, agent-assisted development: the orchestrator seat a non-engineer works from (one session routing, auditing, and merging parallel lanes), a router entry point, a once-per-repo setup interview that records whether you lead from that seat or read code and pick skills, per-repo institutional memory written as side effects of work, relentless grilling, decision maps, throwaway prototypes, autonomous research lanes, ticket filing, human-step wizards, session handoffs, a build discipline of seam-scoped test-first tracer slices, a disciplined bug-diagnosis loop where no fix ships without a named cause, an adversarial review that breaks changes before they ship, a skeptic-verified state review of the codebase itself, an append-only decision trail that lets a human audit an unattended run after stepping away, and a PR-writing standard that leads with the problem, shows before-and-after proof, and says whet
End-to-end Kubernetes Operator discipline: CRD design, reconcile-loop patterns, and OperatorHub Capability Levels. Ships CRD validator, reconcile-loop linter, and capability auditor (3 stdlib Python tools), 4 references on the operator pattern + CRD design + reconcile patterns + framework comparison (controller-runtime/kubebuilder/operator-sdk/metacontroller/KOPF), CRD + Go controller skeletons, and /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.
A disciplined coding pipeline that grounds code in verified structure before a line is written: Discuss -> Map -> Decompose -> Execute -> Verify, with a lazy-senior-dev YAGNI ladder that deletes unnecessary code first. No invented APIs, no assumed imports, no placeholder code. Opt-in for high-stakes, complex, or multi-file work; not for trivial edits. Synthesizes four MIT/open-source projects (Ralph atomic loop, GSD Core context engineering, Graphify KNOWN/INFERRED/UNKNOWN mapping, Ponytail lazy-senior hierarchy). Contributed via PR #854.
Self-Mirror consciousness loop for human-like AI responses. Adds inner dialogue (Self → Mirror → Conscious Response) to make AI output feel authentic, not robotic. Zero dependencies — pure prompt technique.
Loops (a file-based knowledge base) + a codebase harness (dev-local, e2e, crabbox cloud boxes, verify-before-ship) so agents can run, test, and ship code autonomously.
engineeringGABBE core: 44 agent skills for the everyday engineering loop — spec, plan, TDD, review, research, security, memory and audit, with Brain and Loki mode. Add the gabbe-* topic plugins from the same marketplace for the rest of the 214.
Close the loop between what you keep asking your assistant for and reusable skills: scan your transcripts for recurring patterns, draft a skill in this library's format, test its triggers, and publish a complete release package
Tools from the agents course: audit your context, write done as a script, bootstrap your eval suite, and a loop critic agent.
Skills, hooks, templates, and engineering guides for bootstrapping AI-agent-friendly projects, with a per-project self-improvement loop. Bundles the /new-project and /adopt-project scaffolding skills plus commit, simplify, reflect, remember, and dream.
scaffoldingCLI toolbox for Observability-Driven Development (ODD): coding agents observe local runs on an OpenTelemetry/Grafana stack - or remote ones on any OpenTelemetry backend - and feed the next spec-driven improvement loop.
observabilityComplete system: 15 problem-shaped skills backed by 97 genius agents, 86 skills total, 30 commands, 71 tools, 36 hooks, authoritative coding-standards rules, goal-driven and autonomous build loops, and the shared Claude Code and Codex gates
요구 구체화부터 구현·검증·복구까지, 사전 합의 안에서 자율 진행하는 한국어 Claude Code·Codex 스킬 13개. 큰 흐름과 반드시 지킬 검증만 정하고 방법은 에이전트에게 맡긴다. / Korean agent skills for Claude Code & Codex: idea → PRD/TRD → architecture → plan → verification harness → autonomous loop, with up-front agreement, ordered quality gates and independent validation.
productivityOperacje na dokumentach (12 skilli): konwersja PDF/Office->Markdown (markitdown, opendataloader-pdf), redlining .docx z Track Changes (redline-docx-pl), anonimizacja i pseudonimizacja PII (let-it-be), metodyka terminow procesowych z bramka czlowieka (terminy-procesowe-pl), lista kontrolna klauzul umownych (klauzule-kontraktowe-pl), cztery kalkulatory procesowe z zywymi parametrami (kalkulatory-procesowe-pl), groundowana ekstrakcja konceptow prawnych warstwa LLM z zakotwiczeniem cytatu do zdania zrodlowego (doc-intel-llm-tier-pl, wymaga contextgem + modelu lokalnego/EOG; backend chmurowy tylko za jawna flaga), audytowalny kontrakt wyjscia OCR {block_type,bbox,text,confidence} z confidence-gatingiem human-in-the-loop, flagami PII pod redakcje i prompt-kontraktem vlm-html dla dowolnego VLM, OCR skanow na CPU (LiteParse) i lokalnym podzialem teczki na pisma (doc-intel-contract-pl, normalizacja zero-dep stdlib). walidacja podpisu elektronicznego w PRZYCHODZACYM PDF - czy plik zmieniono po p
Design complex n8n workflows with AI assistance - loops, branching, error handling
From task to done. nobrainer-tech-flow is one workflow of 18 modules for AI coding agents and the AI-native SDLC: it scopes the task, does the work in one main loop, checks the result and hands over the evidence, including what was not checked.
AI with a harness. Agent skills, rules, CI and security gates for AI-assisted development — a diagnose → issue → plan → resolve ⇄ verify loop, shipped as one harness.
Runs a substantial task through a mandatory built-in intake grill, then 10 gated stages (docs, brainstorm+decompose, spec, plan, subagent build, tests, lint/deploy, post-deploy, docs/wiki, acceptance). Every stage's doctrine is built into the skill — no companion plugin required — with typed auto/judgment/manual gates, a frozen requirement spine that closes with evidence, a work board and a verification ledger that outlive a run, an exposure line naming what shipped unconfirmed, a progress rail computed from the project's own config, a proportional short path for small changes, a loop guard whose ceilings stop and record a blocker, and stage-3 tracks for what a product does, how it sounds and how it looks. Two modes need no task: `checkup` (what is unverified) and `setup` (audit existing docs); a third, `waves`, takes the whole board and closes it in waves that each finish in one pass. Retro insights can publish upstream as issues, opt-in and redacted.
developmentSecurity find-and-fix loop — adapted (Apache-2.0) from anthropics/defending-code-reference-harness and generalised to all vulnerability classes. Four read/write-only skills (no target-code execution): threat-model (bootstrap from code+CVEs+git-history, or interview an owner via Shostack's four questions, or both -> THREAT_MODEL.md), vuln-scan (static source review, parallel per-focus-area subagents -> VULN-FINDINGS.json), triage (adversarial N-vote verification, 16 false-positive exclusion rules, root-cause dedup, impact-on-asset x exploitability severity with stated deployment conditions, owner routing, checkpoint/resume -> TRIAGE.json), and patch (root-cause candidate diffs + independent reviewer, fix-first priority for deployment-conditional dangerous primitives, never auto-applied -> PATCHES/). The autonomous C/C++ + AddressSanitizer execution pipeline this was extracted from is referenced, not bundled (vuln-scan/HARNESS.md).
securityTwelve SDLC Agent Skills that run as one pipeline — requirements through deployment, then a per-feature build loop with independent acceptance verification.
workflow
