Plan a deep work day using Cal Newport's method: classify tasks as deep or shallow, enforce a shallow-work budget, and build an energy-aware time-blocked schedule with 90+ minute deep blocks, a 4-hour deep ceiling, and a hard stop. Log focus sessions, track weekly deep hours and streaks, and run a shutdown ritual to close every open loop.
/cs:deep-work — Plan a deep work day the Cal Newport way: audit the task list deep vs shallow against a budget, build an energy-first time-blocked schedule with a hard 4-hour deep ceiling and an immovable hard stop, then log focus sessions and close with the shutdown ritual.
/cs:time-block — Build today's time-block plan from a task list, fast: deep blocks of at least 90 minutes in the earliest hours under a hard 4-hour ceiling, shallow work batched into at most two windows, 10-minute buffers, fixed lunch, immovable hard stop. The quick variant of /cs:deep-work — schedule only, no audit, no ledger.
Uses power tools
Uses Bash, Write, or Edit tools
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362 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools.
The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing (incl. AEO — Answer Engine Optimization for LLM citation), security (PreToolUse hooks), compliance, C-level advisory (incl. founder-mode CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE personas + 21 /cs:* slash commands), productivity (capture/email/reflect/weekly-review/deep-work/meetings), an academic research stack (litreview/grants/dossier/patent/syllabus/pulse/notebooklm/deep-research + hybrid router), and enterprise Research Operations (clinical-research/research-finance/market-research/product-research, v2.9.0).
Works with: Claude Code · OpenAI Codex · Gemini CLI · OpenClaw · Hermes Agent1 · Mistral Vibe2 · Cursor · Aider · Windsurf · Kilo Code · OpenCode · Augment · Antigravity
5,200+ GitHub stars — the most comprehensive open-source Claude Code skills & agent plugins library.
Claude Code skills (also called agent skills or coding agent plugins) are modular instruction packages that give AI coding agents domain expertise they don't have out of the box. Each skill includes:
One repo, thirteen platforms. Works natively as Claude Code plugins, Codex agent skills, Gemini CLI skills, Hermes Agent skills, Mistral Vibe skills, and converts to more tools via scripts/convert.sh. All 644 Python tools run anywhere Python runs.
| Skills | Agents | Personas | |
|---|---|---|---|
| Purpose | How to execute a task | What task to do | Who is thinking |
| Scope | Single domain | Single domain | Cross-domain |
| Voice | Neutral | Professional | Personality-driven |
| Example | "Follow these steps for SEO" | "Run a security audit" | "Think like a startup CTO" |
All three work together. See Orchestration for how to combine them.
# Clone the repository
git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills
# Run the setup script
./scripts/gemini-install.sh
# Start using skills
> activate_skill(name="senior-architect")
# Add the marketplace
/plugin marketplace add alirezarezvani/claude-skills
Hermes Agent is BYO-sync tier: the repo ships a pre-generated .hermes/skills/claude-skills/ tree, but you run python scripts/sync-hermes-skills.py once locally to install into ~/.hermes/skills/. Uses the same agentskills.io SKILL.md standard — no format conversion. ↩
Mistral Vibe is also BYO-sync tier: the repo ships a pre-generated .vibe/skills/claude-skills/ tree, run ./scripts/vibe-install.sh once locally to install into ~/.vibe/skills/. Same agentskills.io SKILL.md standard — no format conversion. Docs: https://docs.mistral.ai/mistral-vibe/agents-skills. ↩
npx claudepluginhub alirezarezvani/claude-skills --plugin deep-workNightly offline self-evolution for this repo's Claude agent: harvests past Claude Code sessions (read-only), mines recurring tasks, replays them offline on your own API budget, and consolidates what it learns into validated CLAUDE.md memory and SKILL.md skills behind a held-out validation gate, staged for review (nothing live changes without /skillopt-sleep adopt). Default backend is mock (no API spend); vendored from microsoft/SkillOpt with safety-hardening patches -- see attribution.derivation_note. Use when the user wants their agent to learn from how this repo's skills are actually used, asks about a nightly/offline sleep or dream cycle, memory/skill consolidation, or invokes /skillopt-sleep.
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Use when the user says '/fable-goal', 'turn this into a goal prompt', 'write me a fable prompt', or rambles about something they want made and asks for the prompt that makes it happen. Extracts deliverable/quantity/stakes/tools/destination, asks at most one question batch, verifies every named resource against the live environment, writes a 150-350 word prose prompt with the seven-part anatomy (desire + stakes, quality bar, tool inventory + discovery mandate, creative-freedom grant, medium-matched verification loop, delivery, goal line + autonomy directive), and self-checks six binary criteria before delivering. The output is a single copy-paste prompt, never the build itself.
Personal meeting hygiene, end to end. Before the meeting: a cost gate that prices the meeting in real dollars (attendees x minutes x rate, optionally + the 23-minute refocus overhead per attendee) and refuses to let it exist without a decision, an agenda, and a named owner — verdicts are ASYNC / NOT-READY / MEET, never a shrug. Then a timeboxed agenda builder that rejects any topic without a desired outcome, orders decision topics first, enforces a 5-minute closing actions-recap buffer, and refuses overflowing agendas by name. After the meeting: a deterministic action-item extractor that turns raw notes into an owner + due-date checklist and flags ORPHAN (no owner) and NO-DUE items, because an action item without an owner and a date is theater. Built on the Rogelberg / HBR / Grove meeting-science canon with stdlib-only scripts.
Run a GTD-style weekly review that actually closes loops. Walks David Allen's three-phase ritual — GET CLEAR (collect, process inboxes to zero, empty your head), GET CURRENT (next actions, previous + upcoming calendar, waiting-for, project lists), GET CREATIVE (someday/maybe, new ideas) — backed by three deterministic stdlib scripts: an open-loop scanner that inventories unchecked checkboxes, TODO/FIXME markers, and stale files; a checklist gate that computes completion, names every missing step, and refuses a COMPLETE verdict while any GET CURRENT step is unaccounted for; and a commitment auditor that flags STALLED, NO-NEXT-ACTION, and SOMEDAY-CANDIDATE projects with a 0-100 commitment-health score. The periodic-review counterpart to capture (intake) and reflect (per-conversation reflection).
Self-Improving Agent: curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills. Provides /si:memory-review, /si:promote, /si:extract, /si:memory-status, and /si:remember slash commands.
Run a GTD-style weekly review that actually closes loops. Walks David Allen's three-phase ritual — GET CLEAR (collect, process inboxes to zero, empty your head), GET CURRENT (next actions, previous + upcoming calendar, waiting-for, project lists), GET CREATIVE (someday/maybe, new ideas) — backed by three deterministic stdlib scripts: an open-loop scanner that inventories unchecked checkboxes, TODO/FIXME markers, and stale files; a checklist gate that computes completion, names every missing step, and refuses a COMPLETE verdict while any GET CURRENT step is unaccounted for; and a commitment auditor that flags STALLED, NO-NEXT-ACTION, and SOMEDAY-CANDIDATE projects with a 0-100 commitment-health score. The periodic-review counterpart to capture (intake) and reflect (per-conversation reflection).
PM Weekly Review: a 20-minute structured ritual covering metrics movement, shipping progress, customer insights, and next week's top 3 priorities in a shareable update.
GTD workflow automation for Obsidian vaults: capture, triage, route, focus
Framework for AI-powered multi-step workflows with quality gates
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems