19 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 19 plugins that match these filters.
aiwgjmagly/aiwg2
godmodeNoobyGains/godmode1
trailofbitstrailofbits/skills1
marketing-cliMoizIbnYousaf/marketing-cli1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceCurate auto-memory, promote learnings to CLAUDE.md and rules, extract patterns into skills. Ships 5 slash commands (/si:memory-review, /si:promote, /si:extract, /si:memory-status, /si:remember) and 2 sub-agents (memory-analyst, skill-extractor).
NVIDIA DGX Spark (GB10) environment operations. Use when setting up, preflighting, or debugging ML workloads on DGX Spark or aarch64 Blackwell hardware — CUDA-13 wheel/ABI checks, unified-memory OOM ladders, thermal monitoring.
Study 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.
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.
Engineer an agent's forgetting, not just its remembering. Four deterministic stdlib scripts implement the four lenses of agent memory: a cost profiler that splits construction from query spend and reports cost per correct answer (construction energy exceeds total query energy across 300 queries in the Stanford characterization); an architecture picker that scores the four paradigm families — long-context, flat RAG, structure-augmented RAG, agentic — disqualifies on hard constraints, names the cost the winning choice makes you pay, and refuses to pick when the top two tie; a density auditor that classifies every record in a memory directory or JSONL export as FACT / SKILL / LOG / PROSE, finds near-duplicates, and flags stale wording; and a forgetting-policy linter that fails any design with no forgetting rule. Ships cs-memory-engineer agent, /cs-memory-engineering and /cs-forgetting-audit commands, 4 references, and a seven-question forcing worksheet.
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
Digital forensics and incident response framework with 14 specialized agents covering target profiling, evidence acquisition, log/memory/container/cloud analysis, IOC extraction, and reporting.
Engineering discipline for AI coding agents: question the request, verify against current docs instead of memory, plan, build test-first on the cheapest capable model, review with a second model family, prove it before saying done
Comprehensive Rust security code review with specialized bug-finding agents covering the safe/unsafe boundary, memory safety in unsafe blocks, concurrency, panic-induced DoS, recursion-induced stack overflow, FFI, and async runtime hazards
ARM Cortex-M firmware development for Teensy, STM32, nRF52, and SAMD with peripheral drivers and memory safety patterns
Agent-native marketing playbook CLI: 76 skills, 7 research/review agents, brand memory, and /cmo orchestration.
Graph-backed memory and context optimization workflows with graphify first and document conversion helpers second.
developer toolsAn agentic organic-growth operating system: observe, decide, approve, apply, verify, learn. SEO + AEO/GEO + content + on-page execution with a memory that compounds.
marketingPersistent daemon session capabilities: Concierge front-end, session memory, scheduler integration
Game testing for Unity, Unreal and Godot: engine test frameworks, frame-time and memory profiling, gameplay record and replay, and multiplayer coverage. Includes the six-category game-test taxonomy and a platform certification overview (Sony TRC, Nintendo Lotcheck, Xbox Requirements, Steam Direct). An authoring agent (game-test-scenario-author) detects the engine, scaffolds the test tree, and writes one scenario per spec.
functional-testingDaily-workflow skills for PMs: model routing, self-QA, prompt optimization, MCP context audit, project memory.
The product-manager OS that gets better the more you use it: a CLAUDE.md operating brain, a memory that learns your product and team (3-min /setup), and a self-improving loop that watches the work you repeat and builds you custom skills for it. Plus 53 book-grounded skills across discovery → strategy → execution → launch — every one scored in CI and gated against regression — a workspace your artifacts land in, two isolated workers (critic + researcher), live connectors that write your work back to Linear/Notion/Slack, 5 chained workflows, ready-to-wire automations, and bundled getprompts + getskills libraries.
productivityMultimodal RAG, video search, image similarity search, agent memory, and embeddings stored with your data. Tables, computed columns, vector search, and video, audio, image, and document pipelines.
Performance engineering: frontend performance budgets and Core Web Vitals, backend latency, memory and resource profiling, caching, and Python performance.
