41 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 41 plugins that match these filters.
pm-claude-skillsmohitagw15856/pm-claude-skills3
365-skillsAgents365-ai/365-skills1
skillstimharris707/skills1
claude-sdlc-skillsTsCarpe/claude-sdlc-skills1Submit 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.
Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for board meetings, navigates hard calls, runs postmortems. 5 sub-skills with slash commands.
Thinking-mode skills that change HOW your AI reasons, not just what it does: escape the generic answer, run cognitive panels, and adversarially stress-test your own decisions. Inspired by parallel-divergent-ideation research.
Adversarial roleplay: simulate the specific hostile reader you fear — opposing counsel attacking your contract, the VC partner meeting after you leave the room, a consumer-protection investigator reading your claims, the customer who quietly churns, and the acquirer's red team chipping your price. Each produces the adversary's real artifact plus an out-of-character debrief with fixes.
Pressure-test a business idea before you build it. Convenes a 5-angle adversarial panel — The Critic (what kills this?), The Champion (the 10x upside?), The Analyst (does the logic hold?), The Investigator (what does the market say?), The Customer (would I actually pay?) — fired in parallel as independent reviewers, then a Judge synthesizes one GO / RESHAPE / KILL verdict with explicit confidence and the cheapest 48-hour test to de-risk it. Never averages the scores: a weighted synthesizer with demand/fatal-flaw/logic veto gates produces the call, backed by deterministic stdlib tools.
Disciplined multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. 9-phase pipeline (reframe into falsifiable hypotheses, plan, capability discovery, parallel sub-agent fan-out, score & triangulate, synthesize + adversarial pass, verify, refresh targets). Triangulates every thesis against >=3 independent differently-typed sources; per-source files with verbatim quotes; never fabricates a citation. Auditable, reusable folder + delta-update refresh protocol. Contributed via PR #851.
Drive the Pi coding agent from Claude Code — model-agnostic delegation and code review. /pi:review with structured findings, /pi:adversarial-review, /pi:rescue, /pi:parallel-rescue, racing/fallback across providers, incremental review.
Seventeen 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
The adversarial bundle — skills that attack your work before reality does: Premortem Assassin, Devil's Twin, Metric Gaslighting Detector, Decision Autopsy, Assumption Bounty.
Ten battle-tested SDLC skills: sdlc-intent (PRD digest + seven-layer audit + A/B/C risk tiering), sdlc-design (technical design: alternatives, tiered interface contracts, shared assets, C/H decisions, slicing constraints), sdlc-test (cases/dev/static/exec/spec/report with human checkpoints), sdlc-gate (risk-tiered adversarial review gate: 4/2 fresh-context subagents or self-check, plus guard_dev), sdlc-doubt (adversarial re-check of non-trivial decisions), sdlc-ui-visual (design-to-code visual restoration via screenshots: DOM geometry + pixel heatmap + tiered fix rounds), sdlc-release-check (pre-release audit: config keys, job/MQ registrations, DDL/DML grading, runbook), sdlc-guardrails (write-time red-line engine: PostToolUse hook + pre-commit + baseline scan), sdlc-sync (artifact sync bridge between local markdown and the team-facing platform), sdlc-handoff (cross-agent session handoff: self-contained card, drift check, direct takeover).
developmentAll 30 maintainer skills and 9 agent profiles: humanize and localize prose, triage, reproduce and verify bugs, review PRs, debug ML training, profile performance, bisect regressions, audit CVEs, generate changelogs, evaluate SemVer version bumps, isolate scratchpads, fix type errors, isolate faults, conduct adversarial reviews, route architect-editor edits, generate conventional commits, resolve merge conflicts, prune context, and prepare releases.
productivitySecurity 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).
securityScientific paper writing, source-traced review, and de-AI rewriting for top-tier journals (ApJ/MNRAS/PRD/JCAP-class) and NSF/NIH proposals. Ships 12 skills and 40 tools under one typed standard: scientific-integrity blockers that cannot be waived as style preferences, a zero-target L0 lexicon, ranked advisories, explicit measurement states so missing calibration never reads as clean, claim-first rewriting gated on hard scientific-fidelity eligibility, a mechanical length budget with a machine-built removal map and a required-shrink gate, corpus-calibrated salience-hierarchy, domain-register (with an exhaustive zero-hit vocabulary audit), collocation, and discourse-texture (given/new cohesion, epistemic hedging) axes, each judged against the field's own per-section distribution at the unit it was calibrated at, a residue axis that gates the trace an edit leaves, A-R review with narrative-spine and adversarial-escalation dimensions, registry-verified bibliographies (CrossRef, DataCite, a
writingTen skills and eight agents that run a job application and feed what the review finds back into your profile. The skills: onboard, search and score roles, find a referrer and draft the ask, interview for undocumented experience, build the resume and letter, adversarially review them, de-slop the prose, restyle the templates, report the queue and its calibration, and answer what to run next.
productivityThe Fable Workflow: think (fable-method), act (fable-loop), prove (fable-judge), grow (fable-domain). A problem-solving loop, its orchestration, an adversarial work-verifier, and a domain-adapter generator, with the eval that keeps them honest.
Fifteen-skill bundle covering the AER manuscript lifecycle: topic selection, literature positioning with citation verification, identification, experimental pre-registration with power/MDE sizing, robustness, body-section drafting, introduction, tables/figures, manuscript consistency audit, adversarial referee simulation, replication, submission, rebuttal, and the workflow router, plus the optional StatsPAI implementation engine. Ships with Stata, R, and Python templates plus replication-package skeleton and classic-paper exemplars.
academicAdversarial verification for AI-generated legal content with systematic fact-checking, source validation, and quality control. Use when verifying legal documents, fact-checking regulatory content, performing red team review, or quality assurance before distribution to clients or stakeholders.
Claude skill that turns Claude into a Connecticut-specific divorce planner — nine operating modes from pre-flight intake to post-judgment modification, modeled on Untangle.us's feature surface and grounded in C.G.S. Title 46b, Practice Book Chapter 25, and the 2026-08-01 CCSG schedule. Covers eligibility triage (nonadversarial under § 46b-44a vs standard), financial affidavit (JD-FM-6), child support (JD-FM-220 / CCSG-1 / 1A), alimony (§ 46b-82 fourteen factors), parenting plan (with GAL/AMC escalation under JD-FM-224), settlement agreement (JD-FM-172, TCJA-aware), filing packet (marshal 12-day rule, $360 + $50 fees, JD-FM-75 waiver), and post-judgment motion practice. Hard UPL gate: refuses non-CT, domestic violence (refers CTCADV 1-888-774-2900), hidden assets, courtroom advocacy. Heppner-aware: AI prompts are not privileged. First family-law skill in the Lawvable registry.
Adversarially stress-tests a legal text — a contract, statute, regulation, or judicial opinion — for interpretive ambiguity: it finds the seams where the people governed by it will later disagree about what it means and turns each into a concrete dispute scenario with both sides' arguments, the likely outcome, and a fix. Use it whenever someone wants to pressure-test, red-team, audit, or find weak spots, loopholes, gaps, ambiguities, or drafting problems in a legal document; whenever a drafter wants to tighten a contract, statute, regulation, or opinion before it issues; whenever a litigator wants to mine an opinion or contract for arguments; or whenever someone hands over a legal text and asks where it will be fought over or for issue-spotting. Trigger it for contract review, statutory-ambiguity analysis, judicial-opinion scope analysis, and drafting QA — even if the user never says "stress-test" or "ambiguity."
Act as experienced opposing counsel to attack, undermine, and expose weaknesses in a legal argument, submission, witness statement, or structured reasoning. Produces a six-part adversarial analysis: 1. A core theory of attack identifying the single most effective way to defeat the argument; 2. A reconstructed version of the opposing argument stripped of rhetoric to expose its fragility; 3. Primary lines of attack grouped by category (legal misstatement, evidential gaps, causation failures, internal inconsistency, over-reliance on assertion, procedural weakness); 4. An "if I were the judge" section showing how a sceptical tribunal would dismantle the argument; 5. Surgical strikes - 3 to 5 high-impact points ready for oral submissions; and 6. An analysis of what the argument is trying to hide. Written in formal, adversarial British English for a legally trained audience.
