47 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 47 plugins that match these filters.
copilot-primitives-claudegbb-acelerators/awesome-harness-primitives3
aiwgjmagly/aiwg1
tencent-cloudbaseTencentCloudBase/CloudBase-AI-Toolkit1
dotnet-agent-skillsdotnet/skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceEssential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management
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).
Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security
Content freshness analysis, cannibalization detection, and authority building for SEO
Applied security framework for cryptographic primitive selection, chain-of-trust design, authentication factor analysis, supply-chain trust, and physical-threat modeling. Complements OWASP-style application audits.
Skill-author skill: create new agent skills with proper structure, progressive disclosure, and bundled resources. Derived from Matt Pocock's MIT-licensed write-a-skill with: (1) 3 stdlib Python validation tools (description validator, structure validator, review-checklist runner — all enforcing Matt's 6-item checklist), (2) 4 references citing 7-8 authoritative sources each (progressive disclosure principles, description design patterns, quality gates, companion tooling), (3) cs-skill-author persona agent + /cs-write-a-skill slash command. Matt's voice and 3-phase workflow (Gather → Draft → Review) preserved verbatim per MIT.
Workflow-builder skill: design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool (CLAUDE_CODE_WORKFLOWS=1, /workflows). Every session opens with an intake question set; when the user is vague, a stdlib recommendation engine infers and proposes a topology with rationale instead of stalling. Ships 3 stdlib Python tools (intake recommendation engine, .js validator enforcing pure-literal-meta / no-non-determinism / guarded-loop / parallel-thunk rules, topology scaffolder), 3 references citing 7-8 authoritative sources each (API surface, orchestration patterns, decision + intake guide), templates + a runnable example, cs-workflow-architect persona agent + /cs-workflow-build slash command. Use when building, scaffolding, or running a custom Claude Code workflow or orchestrating sub-agents (fan-out, pipeline, loop, judge-panel).
Conversation-handoff document generator. Compacts the current session into a markdown handoff for a fresh agent — references existing artifacts (PRDs, plans, ADRs, issues, commits) by path/URL instead of duplicating them. Derived from Matt Pocock's MIT-licensed handoff with: (1) 3 stdlib Python tools (template generator tailored to 5 next-session emphases, artifact deduplicator across 5 categories of duplication, skill recommender matching content to 14 skills in this repo), (2) 4 references citing 7-8 sources (handoff structure, deduplication discipline, next-session skill matching, companion tooling), (3) cs-handoff-author persona agent + /cs-handoff slash command. Matt's no-duplication discipline + mktemp convention preserved verbatim per MIT.
CloudBase platform capabilities: AI, auth, databases, cloud functions, storage, CloudRun, and Mini Program integration.
API security hardening, authentication implementation, authorization patterns, rate limiting, and input validation
.NET Template Engine skills: template discovery, project scaffolding, and template authoring.
Research, docs lookup, utility routing, skill authoring, instruction review, and agent configuration audits
Author, maintain, backfill, validate, visualize and serve (MCP) Open Knowledge Format (OKF) bundles.
documentationIntegrate authentication, payments, analytics, messaging and production delivery.
Drop-in ADR toolkit for AI coding agents: bootstrap and audit with /adr-kit:init, guided authoring with /adr-kit:adr, pre-commit and CI enforcement with file:line citations, context injection over a generated graph index, Guardian staleness detection, lifecycle commands, strict lint, adr-doctor, and a key-free MCP server.
Complete 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
Automated security vulnerability testing covering OWASP Top 10, SQL injection, XSS, CSRF, and authentication issues
Build, configure, authenticate, extend, document, operate, upgrade, and contribute to Backstage applications and the Backstage core repository with current first-party workflows, safety gates, and migration guidance.
Author and operate GitHub Copilot customization itself: skills, agents, instructions, prompts, memory, harness engineering, CLI onboarding, Copilot Spaces, usage metrics, and LSP setup.
Drive work from written specifications: author and update spec files, derive GitHub issues and epics, break down features and test plans, write product requirements, and refine a request before implementation.
