24 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 24 plugins that match these filters.
planning-with-filesOthmanAdi/planning-with-files1
pskoett-skillspskoett/pskoett-ai-skills1
rvdbreemen-adr-kitrvdbreemen/adr-kit1
archcore-pluginsarchcore-ai/archcore1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplace32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security, incident-response, red-team, threat-detection. v2.8.1 audits senior-fullstack / senior-frontend / senior-backend against karpathy-coder + Matt Pocock — each ships a 7-question forcing-question library, 4 customization profiles (JSON), deterministic decision engine, composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) + /cs-fullstack-review, /cs-frontend-review, /cs-backend-review, /cs-engineer-grill slash commands.
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).
Persistent project planning files with lifecycle hooks that inject selected plan context. Automatic recovery uses project files only. Explicit catchup modes may read same-project local session records to emit aggregate counts or bounded nonce-framed excerpts. Optional gated mode can request continuation on capable hosts and never runs commands declared in Markdown. No network upload path. Installs across 60+ agents.
Transform Claude Code into an autonomous AI development powerhouse with rich task context, specialized agents, and intelligent workflow automation
Answer questions about past agent runs from the recording, not from memory. Three read-only stdlib scripts over the session transcripts Claude Code and Codex already write: a finder that locates the run by repo, time window, touched file or command text; a timeline that numbers every step with its exit code, lists every file changed (flagging changes the agent never mentioned) and walks back from any step with each causal edge labelled recorded or inferred by a named rule; and a claim checker that tests a summary's claims (ran, passed, edited, not-edited, read) against the run and catches tests that passed before a later edit and exit codes that belong to the last command of a pipe. Secrets are always redacted. A UserPromptSubmit hook gives the agent this session's transcript path when a prompt asks about past work. Ships cs-run-forensics agent, /cs-run-forensics and /cs-check-claims commands and 3 cited references.
A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs-memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code
Two-loop skill pipeline for Claude Code. Inner loop (plan-interview, intent-framed-agent, session-context, context-surfing, verify-gate, self-healing, simplify-and-harden) catches failures in-session — including active runtime recovery via self-healing when a command, test, build, helper, env, or external service fails mid-task. Outer loop (learning-aggregator, self-improvement, eval-creator, pre-flight-check) captures recurring patterns, promotes them to CLAUDE.md as permanent rules with human approval, and turns failures into regression tests. The harness gets stronger with every cycle.
Persistent memory plugin for Claude Code - remembers preferences, decisions, and corrections across sessions and context limits
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.
Spec-driven development and context engineering for AI coding agents, backed by project context in Git.
Plan the work. Control the context. Ship with proof. Buddy is a coding companion for developers that carries engineering work from research and planning through implementation and verification.
developmentPRD-CE methodology engine: scaffold (PRD/SoT/EPICs) + lifecycle skills + governance hooks + readiness scoring.
Evidence operations, auditable context selection, and exact recovery for AI coding agents.
Skills and agents for the feature cycle: brainstorm a spec, plan tasks, build with tests (in parallel worktrees for larger plans), run a multi-agent code review that checks each finding against the code, debug from hypotheses, write commit messages and PR descriptions, build UI from Figma, and hand over context between sessions
Private project context, shared across coding agents and worktrees.
productivityEight lean but firm skills, including spec-sync for durable intent and context-hygiene against stale documentation. They trigger only when their conditions match and stay strict once active. Includes a SessionStart discipline primer, passive local usage counting, and first-entry guide-doc seeding for CLAUDE.md / AGENTS.md.
Call, text, and receive replies from the /call-me app (iPhone or Android).
A session-strain meter for long agent sessions. Counts how loaded a single conversation has become and makes the agent report it on its own, on a schedule it cannot quietly skip, so you find out that a session should be wrapped before its answers start degrading. Reads the real context size on hosts that expose one, and says so plainly when it cannot.
Query unfinished prd/rfc/ship work and the exact command to resume it. Derives an open-work board from artifact frontmatter; a SessionStart hook auto-surfaces it so context survives /clear.
orientationBlock an assistant reply when Jev judges a sentence, in context, to be a shortcut instead of an explicit statement.
productivity
