73 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 73 plugins that match these filters.
trailofbitstrailofbits/skills1
quiveryagizdo/quiver1
coalmineTheColliery/CoalMine1
orcHigorAlves/orc1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceGets independent code reviews from Codex or Antigravity for uncommitted changes, branch diffs, and commits.
AI-powered conventional commit message generator with smart analysis
AI-powered commit message generator - analyzes your git diff and creates conventional commit messages instantly
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
9 quality-canary skills: rot-canary (code-health), gold-standard (world-class completeness), source-grounding (anti-hallucination), supply-chain-audit (deps/build/artifact), resilience-audit (failure-mode FMEA), telemetry-canary (observability), testability-canary (decoupling/DI), scale-canary (perf scaling), drift-canary (contract/schema drift). rot-canary adds cross-platform auto-cadence hooks. Served conformed from the committed plugin/ dist (built by scripts/build-plugin.mjs).
Audits the transition from legal AI output to reliance, recommendation, execution, or real-world commitment. Use it before an AI-generated analysis, memo, contract review, compliance finding, or workflow output is acted upon to check whether authority, evidence, mandate, uncertainty, procedure, and review conditions remain sufficient.
Tribunal-prep skill modeled on Neal Katyal's Nov 2025 SCOTUS tariffs argument and his AI sparring partner "Harvey." Five phases: (1) profile each decision-maker from prior opinions, questions, concurrences, and dissents — surface their doctrinal commitments and institutional concerns; (2) predict the bench — 3–7 likely questions per judge with the worry behind each, verbatim phrasing where confidence is high; (3) map escape routes — the narrowest holding each skeptical judge could sign without abandoning prior commitments; (4) spar adversarially — relentless follow-ups, calls out parroted lines, tracks which questions broke the lawyer; (5) hand the lawyer back to themselves with a < 150-word index card for the podium. The model is the sparring partner. The lawyer still wins the case. Use for oral argument, motion hearings, depositions, arbitrations, or stress-testing a brief before filing.
88 curated skills (incl. workspace-mode for cross-repo flows), 30 composite slash commands, 14 specialist subagents with per-agent model + reasoning-effort tuning, and 10 hook scripts that quietly enforce discipline (confirm-to-commit on protected branches, destructive-git gating, no AI-attribution trailers in commits/PRs, dependency pre-flight, iron rules injected at session start). Covers the whole SDLC — including post-PR: CI diagnosis, releases, dependency audits, live incident response. Drives the senior-IC loop end-to-end via /orc:flow — workspace-aware: from a parent dir with multiple sibling repos, one flow spans them all with N linked PRs.
Git and GitHub workflow skills: conventional commits, PR creation, release management, gitflow branching, branch syncing, and code-done-to-merged shipping
10 working methods for git collaboration: branch-strategy, code-owners, commit-messages, git-history-hygiene, and more
Determines whether a specific AI-agent action, output, recommendation, or proposed commitment remains admissible for execution or institutional reliance under current authority, delegated scope, evidence, facts, policy, risk, escalation, and revocation conditions. Use this Skill before an enterprise or regulated AI agent executes, updates records, triggers workflows, communicates externally, or before an institution relies on an agentic output in a way that creates legal, financial, operational, regulatory, customer, employee, patient, citizen, market, contractual, or reputational consequence.
Draft, adapt, and review contracts and clauses aligned with The Chancery Lane Project's methodology for reducing carbon emissions through legal agreements. Use when Claude needs to: (1) Draft new climate-aligned clauses (e.g., net zero commitments, carbon accounting, supply chain decarbonization), (2) Adapt or modify existing contracts to incorporate climate objectives, (3) Review and analyze clauses for alignment with climate goals and decarbonization strategies, (4) Provide guidance on The Chancery Lane Project's house style and drafting methodology for climate-conscious legal work.
Discipline mode (staged planning, receipts, verify-against-source, adversarial review) + plan/kickoff commands + a plan-reviewer agent + an always-on SessionStart discipline injector + a Stop-hook autonomous loop (Layer 1, a deterministic gate) that can arm itself from a committed, content-hash-trusted .claude/tale-mode.json during a kickoff phase + a fail-closed plan-mode auto-approve for provably read-only shell (no more permission-dialog walls during investigation).
productivityFlaky test triage: find the condition a flake depends on, quarantine it with an expiry date, fix known flake patterns, and track flake rates. Agents (e2e-flake-bisector, regression-bisector) rerun a test under varied conditions with a shared-state isolation stage, and run git bisect to find the commit that introduced a regression, with a perf-measurement mode.
operations-resilienceGit and GitHub workflow skills — commits, branches, pull requests, issues, and CI actions
Write like a person in everything the agent emits: plain words, concrete claims, no AI tells. Always on for chat replies, status updates, close-outs, review comments, and commit messages; owns the repo's single merged tell catalog behind a pointer.
Token-efficient answers, BOOT/checkpoints, and git workflows (commit, push, PR, review).
Husky v9 setup, lint-staged v16 patterns, commitlint with conventional commits, CI/production handling, monorepo setup, migration from v8
Ratcheted SwiftLint, copy-paste detection, and Xcode project malware scan. Runs automatically after Swift edits and before commits.
Inference-API compatibility suite — the three open LLM serving protocols as third-party surfaces: OpenAI Chat Completions + legacy /v1/completions (7 local servers, gateways, 10 cloud compat endpoints, reasoning-field schism, client wire behavior), OpenAI Responses (spec, streaming events, store/previous_response_id semantics, translation), and Anthropic Messages (7 native server implementations, thinking-signature seam, stop_reason divergences, Claude Code/opencode integration). Source-examined at pinned commits with live-verification logs.
inference
