alirezarezvani

by Alireza Rezvani

Personal Claude power-user coach. On first activation, delivers a personalized, ranked cheat-code glossary filtered to the user's use cases. On every subsequent turn, scans for missed power-user opportunities and surfaces at most ONE ⚡ tip when a tip would genuinely 10x the next attempt. Silence is the default. Ships SKILL.md, cheat-codes glossary, coaching-rules decision tree, and three stdlib Python tools (cheat-code filter, prompt rater, 5-gate tip classifier). Includes cs-claude-coach agent persona and /cs:claude-coach slash command.

by Alireza Rezvani

388 production-ready skills across 20 domains — engineering, marketing, product, compliance, C-level advisory, research, business operations, and more. 727 Python tools, 842 reference guides, 118 agents (cs-* + personas), 150 slash commands, 99 marketplace plugins. The largest open-source skills library for AI coding agents.

by Alireza Rezvani

Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, models, APIs, and interactions for frontend (React, Vue, Angular, Next.js), backend (NestJS, Django, Express, FastAPI), and fullstack applications.

by Alireza Rezvani

Create CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Supports 10 developer personas (vibecoder, new joiner, architect, security reviewer, etc.), all CodeTour step types, and SMIG description formula.

by dong7812

Assisted retrospective: after a session, calibrates what Claude contributed vs what the developer drove. LLM-assessed 4-frame analysis, zero dependencies.

by Alireza Rezvani

7 Commercial skills + 1 orchestrator: pricing-strategist (Van Westendorp WTP + packaging + model picker), deal-desk (margin + discount routing + redline scoring), partnerships-architect (5-tier classifier + joint GTM + revshare modeler), channel-economics (cost-to-serve + ROI + channel mix optimizer), commercial-policy (data-backed discount matrix + exception flow + policy linter), rfp-responder (Shipley-method structured RFP/RFI/RFQ response + win-theme + winrate predictor; context: fork for heavy intake), commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Orchestrator skill uses context: fork. 21 stdlib-only Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic CRO), finance (close-and-report).

by Alireza Rezvani

Compliance OS — meta-orchestrator for multi-framework compliance programs. Configure-then-operate four stdlib Python tools: framework_selector.py (input: company profile across industry/geography/AI/medical/financial/headcount; output: applicable frameworks ranked across all 9 supported: ISO 27001, 13485, 42001, 14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR), cross_framework_mapper.py (input: 1+ framework control libraries; output: unified control matrix with overlap percentage + mapping confidence + unified evidence requirements per merged control), audit_simulator.py (input: framework scope; output: mock internal audit with 8-15 finding scenarios across 5 severity levels + interview questions per control), evidence_pool_generator.py (input: enabled framework configs; output: consolidated evidence checklist with reuse map). 4 in-depth references citing ISO 19011, IIA Standards, AICPA AT-C, NIST CSF, COSO ERM. Plus 3 cs-* persona agents (cs-compliance-officer, cs-aims-iso42001, cs-ai-act-compliance) + 3 /cs:* slash commands (/cs:compliance-readiness, /cs:aims-audit, /cs:ai-act-readiness). Reuses the 14 existing ra-qm-team skills and the 2 new compliance-team-* plugins.

by Alireza Rezvani

EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist for compliance teams. Three deterministic tools: AI system risk classifier (Article 5 prohibited / Article 6 + Annex III high-risk / Article 50 limited-risk / minimal-risk per the binding regulation), conformity assessment planner (Article 43 Module A vs Module H + notified-body routing + Annex IV technical documentation checklist), obligation tracker (provider/deployer/importer/distributor obligations matrix per Title III Chapter 3 + GPAI obligations per Articles 51-55). 4 in-depth references: Titles I-XII Article-by-Article walkthrough, Annex III 8 high-risk categories with Article 6(2) carve-outs, GPAI obligations including systemic-risk threshold, cross-framework mapping to ISO 42001 + NIST AI RMF + GDPR. Stdlib-only. Built for compliance officers executing Article-level conformity work — not for executive AI strategy (see chief-ai-officer-advisor for that).

by Alireza Rezvani

ISO/IEC 42001:2023 AI Management System (AIMS) specialist for compliance teams: AIMS gap analyzer (Clauses 4-10 coverage scoring + remediation priority), AI risk register builder (Annex A 38 controls + risk-to-treatment map per ISO 23894), AIMS audit scheduler (Clause 9.2 internal audit cadence + 12-month plan + auditor independence checks). 4 in-depth references: ISO 42001 Clauses 4-10 walkthrough, Annex A controls A.1-A.10, AIMS implementation maturity model, cross-framework mapping (42001 ↔ EU AI Act ↔ NIST AI RMF ↔ ISO 23894). Stdlib-only. Standalone-installable; also bundled in ra-qm-skills. Built for compliance officers running internal AIMS audits, not for executive AI strategy decisions (see chief-ai-officer-advisor for those).

by Alireza Rezvani

Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.

by Alireza Rezvani

Study companion and working knowledge base for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, a patterns file and a cheatsheet index the whole book; every chapter carries a 'what changed after 2016' section, and a dedicated delta reference dates the text 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, and self-supervised learning vindicating Chapter 15 while replacing its methods. Four stdlib-only tools make the book executable: a prerequisite-closed reading-path planner that refuses goals the 2016 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 the regularization ladder and pushes 'shrink the model' last in the overparameterized regime, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. Deliberately a companion, not a compilation: the book is copyrighted, so nothing here reproduces its text — every chapter file is original synthesis linking to the official free chapter. Use when studying or teaching this book, planning a route through it, or checking whether one of its recommendations is still current.

by Alireza Rezvani

Disciplined, multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. Runs a 9-phase pipeline (reframe into falsifiable hypotheses → genre/blocks → 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, saves each source to its own file with verbatim quotes, and never fabricates a citation. Output is an auditable, reusable folder with a delta-update refresh protocol. Use when a wrong answer is expensive: strategy, comparing N options, hypothesis validation, mapping a field.

by Alireza Rezvani

Plan a deep work day the Cal Newport way: time-block planning + shallow-work budgeting + focus-session tracking. Classifies every task deep vs shallow (recent-graduate heuristic, explicit override wins), audits the shallow share against a 30-50% budget with a WITHIN-BUDGET / OVER-BUDGET verdict, then builds an energy-first time-blocked day — deep blocks of at least 90 minutes in the earliest hours, a hard 4-hour deep ceiling the planner refuses to exceed, shallow work batched into at most two windows, 10-minute attention-residue buffers, a fixed lunch, and a hard stop that never silently extends. A JSON-backed focus-session logger tracks weekly deep hours vs target and consecutive-day streaks, and an end-of-day shutdown ritual closes every open loop. Deterministic stdlib scripts do the arithmetic; refusals (exit 2) name exactly what to cut or defer.

by xiehuan123

Evidence-first reading of supplied documents — books, articles, PDFs, document sets. Five modes (quick, deep, map, feynman, book), claim/reason/evidence decomposition with four-level confidence labels, an evidence ledger, knowledge maps, and Feynman teach-back. Starts from material the user supplies; for discovering sources across the web use deep-research, and for citation-formatted briefs use research-summarizer.

by Alireza Rezvani

Create polished demo videos from screenshots and scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts to produce product walkthroughs, feature showcases, and marketing teasers with story structure, scene design system, and narration guidance.

by Alireza Rezvani

Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Covers build performance, layer caching, and production-ready container patterns.

by Alireza Rezvani

Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network signals, reputation signals, red flags, 3-5 conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica Nonprofit Explorer) as workhorses; optional BYOK MCPs (LinkedIn, Crunchbase, Apollo, Pitchbook, SimilarWeb) enhance coverage. Triggers: 'research [company]', 'dossier on [person/company]', 'background check on [entity]', 'prep me for a meeting with [person/company]', 'due diligence on [company]', 'what should I know about [entity]', 'research [person] before I [meet/hire/invest]', 'competitor research on [company]', 'investor diligence [company]', 'interview prep for [company]'. Honors sensitivity exclusions for journalism + personal-vetting contexts.

by Alireza Rezvani

Email triage system — paired skills (inbox-setup + inbox-triage) for personalized recurring email triage. inbox-setup runs once via interactive interview to build a knowledge base of 7 files (taxonomy, patterns, evaluation-framework, rate-card, blocklist, tracker, triage-log/) in ${WORKSPACE}/Email/. inbox-triage runs on recurring cadence (1-3x daily) or on demand: classifies recent emails, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report, and updates the KB with learnings. The two skills share a strict file contract — PR #657's cross-skill consistency audit verified the 7 KB filenames align verbatim between the two megaprompts. Source specs: megaprompts/06-inbox-setup-megaprompt.md + megaprompts/07-inbox-triage-megaprompt.md.

by Alireza Rezvani

37 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator (with semantic version bumper and hotfix/rollback procedures), API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor, skill tester, performance profiler, focused-fix, browser-automation, full-page-screenshot, git-worktree-manager, monorepo-navigator, codebase-onboarding, interview-system-designer, runbook-generator, spec-driven-workflow, secrets-vault-manager, env-secrets-manager, pr-review-expert, self-eval, tc-tracker (task context tracker with lifecycle and handoff format), feature-flags-architect, kubernetes-operator, chaos-engineering, ship-gate (pre-production 8-category audit with deploy-intent intercept), slo-architect (SLO designer, error-budget calculator with multi-window burn-rate alerts, SLO reviewer per Google SRE Workbook), and tech-debt-tracker. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.

by Alireza Rezvani

32 production-ready engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright, self-improving agent, security suite (adversarial-reviewer, ai-security, cloud-security, incident-response, red-team, threat-detection), Stripe integration, TDD guide, Google Workspace CLI, a11y audit, Snowflake development, and more. v2.8.1 augments senior-fullstack / senior-frontend / senior-backend with karpathy-coder + Matt Pocock discipline: each ships a 7-question forcing-question library, 4 customization profiles (JSON, swappable), a deterministic decision engine, a composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) invokable by other agents via /cs:fullstack-review, /cs:frontend-review, /cs:backend-review, /cs:engineer-grill. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.

by Alireza Rezvani

Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for board meetings, navigates hard decisions, and forces honest post-mortems.

by Alireza Rezvani

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.

by Alireza Rezvani

End-to-end feature-flag discipline: classify, ship, ramp, retire. Detects stale flags as debt, generates phased rollout plans (ring/linear/log/cohort), and audits every flag for a documented kill switch. 3 stdlib Python tools, 4 references on flag taxonomy + provider trade-offs (LaunchDarkly/GrowthBook/Statsig/Unleash/Flipt/DIY) + rollout strategies + lifecycle. /flag-cleanup slash command. Cross-tool compatible.

by Alireza Rezvani

2 finance skills plus a router: financial analyst (ratio analysis, DCF valuation, budgeting, forecasting) and SaaS metrics coach (ARR, MRR, churn, CAC, LTV, NRR, Quick Ratio, 12-month projections). 7 Python automation tools. The business-investment-advisor skill ships as a separate nested plugin. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.