28 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 28 plugins that match these filters.
365-skillsAgents365-ai/365-skills2
claude-code-skillsalirezarezvani/claude-skills1
pm-claude-skillsmohitagw15856/pm-claude-skills1
obsidian-wikiAr9av/obsidian-wiki1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceA second brain for Claude Code + Obsidian inspired by Karpathy's LLM Wiki gist. Turn any LLM CLI into a disciplined wiki maintainer: incrementally ingest sources into a persistent, interlinked markdown vault; update entity/concept/source pages; flag contradictions; maintain index and append-only log. Knowledge compounds instead of being re-derived by RAG on every query. Ships 3 sub-agents (wiki-ingestor, wiki-librarian, wiki-linter), 5 slash commands (/wiki-init, /wiki-ingest, /wiki-query, /wiki-lint, /wiki-log), 8 Python tools (stdlib only: init_vault, ingest_source, update_index, append_log, wiki_search BM25, lint_wiki, graph_analyzer, export_marp), 8 reference docs, full vault templates (CLAUDE.md, AGENTS.md, cursorrules, 5 page templates), and a worked example vault. Cross-tool compatible with Claude Code, Codex CLI, Cursor, Antigravity, OpenCode, and Gemini CLI.
Live data, zero API keys: weather, air quality, currency, crypto, world clock, holidays, dictionary, Wikipedia, earthquakes, and Hacker News — all over plain curl with fallbacks and honest sourcing
Grow an Obsidian second brain with your AI agent: ingest docs, chat history and URLs into interlinked markdown, then query it with citations.
Cortex — persistent memory and cognitive profiling for Claude Code (renamed from the 'cortex' plugin in v4.15.0 to match the PyPI/MCP-registry identity hypermnesia-mcp) — thermodynamic memory with heat/decay, intent-aware retrieval, biological plasticity, codebase intelligence, and cognitive profiling. These mechanisms are implemented and inspectable; committed ablations do not establish a retrieval gain from all 36 mechanisms. 57 MCP tools (60 with the optional ai-architect-mcp-codebase + ai-architect-mcp-spec integrations) with enriched schemas (visualization extracted to the standalone Hypermnesia MCP Viz server). PostgreSQL + pgvector in CLI mode; automatic SQLite fallback in Cowork/sandboxed mode. v3.17.0 — autonomous per-project wiki: SessionStart auto-spawns a 6-hour consolidate cycle; a headless `claude -p` worker drains the curation-gap queue, calls codebase-intelligence MCP tools to ground each section in the real call graph, and authors missing anchor pages (architecture / s
Unified AI-native Vibe Coding plugin: PRD generation, digging analysis, screen-spec (IA / User Flow / Wireframe HTML / Dev Handoff), team-based parallel implementation, quality-gated auto-commit, 20 design styles, frontend (React/Next.js), backend (NestJS/Prisma), mobile (React Native/Expo), AI integration (STT/LLM), DevOps (Docker/CI-CD). 11 agents, 5 commands, 8 skills, team knowledge wiki (auto-collect + recall for WIGTN repos).
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich structured documentation with architecture diagrams, component analysis, and source citations.
9 short commands (/setup, /list, /trans, /note, /wiki, /add, /page, /cheatsheet, /ralphtrans) for Tongji Look lecture transcription, supplementary material ingestion, course wiki generation, and GitHub Pages deployment.
educationRuns a substantial task through a mandatory built-in intake grill, then 10 gated stages (docs, brainstorm+decompose, spec, plan, subagent build, tests, lint/deploy, post-deploy, docs/wiki, acceptance). Every stage's doctrine is built into the skill — no companion plugin required — with typed auto/judgment/manual gates, a frozen requirement spine that closes with evidence, a work board and a verification ledger that outlive a run, an exposure line naming what shipped unconfirmed, a progress rail computed from the project's own config, a proportional short path for small changes, a loop guard whose ceilings stop and record a blocker, and stage-3 tracks for what a product does, how it sounds and how it looks. Two modes need no task: `checkup` (what is unverified) and `setup` (audit existing docs); a third, `waves`, takes the whole board and closes it in waves that each finish in one pass. Retro insights can publish upstream as issues, opt-in and redacted.
developmentAcademic paper reading and Obsidian note generation skills for building a research WIKI.
Knowledge-base / wiki framework with skills for ingestion, query, and lint. Build a structured, citable corpus with cross-references and concept pages.
Governed orchestration across AIWG line memory, semantic memory, and llm-wiki.
LLM-maintained markdown wiki that compounds as sources are ingested. Thin topology declaration on the semantic memory kernel — ships schema profiles and page templates, no custom mechanics.
Keep a large Obsidian vault tidy — file new notes into the best-fit folder and audit/reorganize existing structure, driven by a single source-of-truth map note (00_Index/Folder_Map.md) that lives inside the vault. Link-safe by design: all moves/renames go through the obsidian CLI so wikilinks auto-repair, never raw shell. Propose-then-confirm for bulk reorganizations.
Fetch and export public X (Twitter) data with a self-contained Python CLI built on the twikit library — no developer API keys, just the user's own login cookies. Covers user profiles, a user's tweets/replies/likes, single tweets, threads, search, followers/following, home/bookmark timelines, with JSON/JSONL/CSV/SQLite output and resumable pagination. Use whenever the user wants to scrape, download, collect, archive, monitor, or analyze tweets or X/Twitter accounts, export a timeline or follower list to a file or dataset, pull X data for research, or build a tweet corpus — even if they don't name the tool. Requires the user's own X login cookies (auth_token + ct0, or username/password login).
Interact with Atlassian Confluence from the terminal: list spaces, browse pages, view page content, search with CQL, and create pages. Use when the user mentions Confluence, a space key (e.g. DEV), or asks about documentation, wiki pages, space content, or knowledge base articles. Do not use this skill for unrelated requests; route to the nearest named specialist.
Operate Notion from a terminal or agent: retrieve pages, query databases, search pages and databases, and update page properties — with a bundled notion-cli script that is read-only by default and gates every create or update behind a --dry-run/--yes confirmation. Use when an agent needs to read Notion content, answer questions from a team wiki or database, or make a confirmed edit. Do not use for building Notion integrations or block-level page composition beyond property updates (that is Notion API application development), or for other knowledge bases (that is their own tooling).
Define knowledge bundles with Google's Open Knowledge Format (OKF) v0.1. Use when the user mentions OKF, Open Knowledge Format, Google's knowledge format, LLM wiki bundles, agent knowledge packs, creating OKF bundles, validating OKF documents, or converting knowledge into the OKF standard. Do not use this skill for unrelated requests; route to the nearest named specialist.
2 skills for full Nextcloud management via OCS API and WebDAV: files, sharing, users, and the Collectives wiki (pages, markdown, search, shares)
Self-improving memory for agents: ingest anything, query everything.
AI slop detection (300+ patterns, 0-100 scoring) and elimination (GVR loop) plus 125 skills for engineering gates, wiki, issue tracking, security audits, and productivity orchestration.
