14 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 14 plugins that match these filters.
claude-code-workflowswshobson/agents1
megapowerslawzava/megapowers1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceStudy companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
Business, strategy & C-suite skills: Investor Update, Board Deck Narrative, Board Pre-Read, Decision Memo, Strategy Memo, Capital Allocation, Job Application. Drive decisions with crisp memos, run board meetings on pre-reads, allocate budget by return × strategic fit, and articulate a real strategy with explicit non-goals.
Active coding discipline enforcer based on Karpathy's 4 principles: surface assumptions, simplify, make surgical changes, define verifiable goals. Ships 4 Python tools (complexity_checker, diff_surgeon, assumption_linter, goal_verifier), a review agent, /karpathy-check command, and pre-commit hook. All stdlib-only.
Turn any domain folder of skills into a bounded agentic loop: a manifest builder inventories a domain's skills/tools/checks, a goal compiler turns a goal into a verifiable task plan (refusing vague goals with forcing questions), and a JSON-backed loop controller drives execute->verify->close with retry caps, controller-run verification (no verification theater), human escalation on exhausted budgets, and a close gate that refuses while any task is unverified or unwaived. Ships 3 stdlib Python tools, 18 committed per-domain harness manifests + JSON schema, 3 references citing the 2024-2026 agent-harness canon (Anthropic long-running harnesses, verifier's law, SWE-agent, Ralph loop, Cognition), harness-runner agent + /cs-harness command. Use when an agent or subagent should pick up a goal, define its tasks, complete and verify them, and close the loop.
Educator skills: Lesson Plan, Rubric Builder, Quiz Generator, Parent Communication, IEP Goal Support, Student Feedback. Build standards-aligned lessons with differentiation, fair grading rubrics, quizzes with answer keys, warm parent messages, measurable SMART IEP goals, and constructive feedback that tells students how to improve. A drafting aid for teachers — not legal advice.
Drive the Superself `self` CLI: version control for a project's state (goals, decisions, work units, reports) kept outside the code repo, so a session reads context at start, reports with evidence, and the next session picks up where this one left off
The K-12 teaching pack: standards-aligned lesson plans, measurable IEP goals, parent-conference prep for the hard conversations, and function-based behavior intervention plans
Task skills (plan, TDD, debug, verify, safe effects, independent model review, orchestration). Uses native agents, goals, and permissions.
workflowRestructure any rough build, research, or legal-drafting request into an IRAC-shaped prompt — Issue, Rule, Analysis, Conclusion — optimized for a frontier model. It's the bar-exam framework, repurposed as prompt engineering. The skill leads with the issue and ends with the conclusion (where models weight attention most), forces you to name your constraints and non-goals, and specifies what "good" looks like before a single token is generated. Use it before any non-trivial build, or whenever a vague ask deserves a precise brief.
Agent skills for long-horizon work: turn goals into verified results, and lessons into better runs.
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.
Use this skill to run BMad (Breakthrough Method of Agile AI-Driven Development) as a harness-agnostic control-plane protocol that turns human intent into bounded, inspectable, resumable agent work. Compress intent into a five-field contract (Why, Capabilities, Constraints, Non-goals, Success signal); classify work as direct/bounded/initiative and route to the smallest safe path; carry decisions in durable artifacts; review as triage; route failure to the layer where ambiguity entered; and gate autonomy on observable acceptance with machine-readable status (draft/ready-for-dev/in-progress/in-review/done/blocked). Use when a change request, feature, delegated build, or multi-agent epic needs intent capture, bounded implementation, review, and resumability in any agent harness. Do not use for validating whether a problem is real (product-discovery), shaping bets before planning (product-shaping), formal spec/gate pipelines (spec-driven-development), or the issue-to-PR delivery flow (neckb
Guide a bounded, user-led coaching process for personal goals, decisions, transitions, habits, recurring nonclinical patterns, accountability, and progress review. Use when a person explicitly asks to be coached, wants reflective challenge, or wants help examining ambivalence while retaining ownership. Do not use for therapy, crisis support, diagnosis, direct factual or action requests, product or stakeholder discovery, or medical, legal, financial, addiction, domestic-violence, or other specialist advice.
Use when you need to create a DEVELOPER.md file for a Maven project — combining a fixed base template with dynamic sections derived from the project pom.xml, including a Plugin Goals Reference, Maven Profiles table, and Submodules table for multi-module projects.
