20 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 20 plugins that match these filters.
zeeshanhanifzeeshanhanif/agentic-sdlc-kit1
megapowerslawzava/megapowers1
pdlc-skillskanfu-panda/pdlc-skills1
fable-field-guideGreatMark/fable-field-guide-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplace26 first-party Apple/Swift skills. Invoke explicitly with /apple-dev-skills:<skill>.
workflow12 first-party AI-agent collaboration & process skills. Invoke explicitly with /collaboration-skills:<skill>.
workflowTwelve SDLC Agent Skills that run as one pipeline — requirements through deployment, then a per-feature build loop with independent acceptance verification.
workflowTask skills (plan, TDD, debug, verify, safe effects, independent model review, orchestration). Uses native agents, goals, and permissions.
workflowAn auditable, on-disk PDLC state machine for AI software engineering: a staged workflow (PRD → design → TDD → implement → review → ship → retro) with hard contracts + objective checks from real exit codes, so an autonomous loop can drive it to convergence unattended (fail-stop / budget guards) — tool-agnostic, richest in Claude Code, plus Codex via adapters.
workflowFind your unknowns before, during, and after implementation: field-guide (router), blindspot-pass, design-directions, interview-me, reference-hunt, implementation-plan, implementation-notes, pitch-explainer, change-quiz
workflowThe String runtime as a Claude Code plugin. Installs the `string` MCP server (via npx — no manual install) and a skill that walks Claude through installing apps, calling actions, browsing pages as markdown, and recovering from errors.
workflowThe SDLC as a guarded graph, with the milestone loop delegated to a milestone agent per milestone (per worktree under strategy C) whose bundle the orchestrator verifies against git before recording it. A run is one gitignored directory — state, per-milestone journals, and with --trace every state it passed through. Ships a run reviewer that turns a finished run into the evals it should have had, and an advisory onboarding skill that reports which third-party tools this session can invoke and what a run does without each. Command-invoked.
workflowRoute large skill libraries through category router skills and organize new skills via agent-authored routing plans.
workflowMaterial Design 3 / M3 Expressive guidelines, tokens, per-component specs, and reference images
workflowThree agent skills: general engineering guidance and Go HTTP and TCP server reliability checklists
workflow面向产品经理的 AI Agent 工作流系统 — 通过 Claude Code Skill 插件实现完整产品管理闭环
workflowThe decisions-only orchestration discipline — run any agent fleet at frontier-orchestrator efficiency, on any model. One markdown skill, no dependencies.
workflowThe run viewer for sdlc-graph, which declares it as a dependency — one zero-dependency page that renders parallel milestone agents, live or as a self-contained snapshot. Reads the run-directory layout: docs/graph-runs/<run-id>/{state.json,journals/}.
workflowInstalls graph engineering into a project that has none: turns an existing process — skills, a runbook, a CI config, or a description — into a guarded graph with typed nodes, total exit guards, bounded retry loops, a run-state file, a skipped-step ledger, and its own auditor. Domain-agnostic; needs no other plugin installed.
workflowUse when writing, reviewing, or modifying any code. 15 behavioral rules + critique/audit commands for strategic software design.
workflowAggressive AI coding guidelines: Data First, Simplicity First, Surgical Changes, Show Me the Code, and a bogus-shit detector
workflowAudits a code change against a 54-phase failure taxonomy and reports what it did not check, not just what it found. Domain overlays run first and force critical-path treatment.
workflowBehavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
workflow
Evidence-backed writing principles and repository engineering for predictable, composable agent skills / 有证据支撑的可预测、可组合 Agent Skill 写作原则与仓库工程
workflow
