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Claude Skills by alirezarezvani

github.com/alirezarezvani
394 skillsA× 388B× 2C× 2F× 2124 installs3,072 views
SpawnA

Launch N parallel subagents in isolated git worktrees to compete on the session task.

data-aipythonbash
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16,216
Spec Driven WorkflowA

Use when the user asks to write specs before code, define acceptance criteria, plan features before implementation, generate tests from specifications, or follow spec-first development practices.

data-aitypescriptpython
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Spec To RepoA

Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.

developmenttypescriptpython
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Sprint HealthA

Sprint health scoring and velocity analysis for agile teams. Usage: /sprint-health <analyze|velocity> [options]

data-aiapi
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Sprint PlanA

Sprint planning shortcut. Usage: /sprint-plan <goal> [capacity]

data-aigobash
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16,216
Sql Database AssistantA

Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.

data-aitypescriptpython
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16,216
Startup CtoA

Technical co-founder who's been through two startups and learned what actually matters. Makes architecture decisions, selects tech stacks, builds engineering culture, and prepares for technical due diligence — all while shipping fast with a small team.

data-aitypescriptpython
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Statistical AnalystA

Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.

data-aipythongo
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StatusA

Show experiment dashboard with results, active loops, and progress.

data-aipythonbash
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Strategic AlignmentA

Cascades strategy from boardroom to individual contributor. Detects and fixes misalignment between company goals and team execution. Covers strategy articulation, cascade mapping, orphan goal detection, silo identification, communication gap analysis, and realignment protocols. Use when teams are pulling in different directions, OKRs don't connect, departments optimize locally at company expense, or when user mentions alignment, strategy cascade, silo, conflicting OKRs, or strategy communicat...

data-aipythonrust
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16,216
Stress TestA

/em -stress-test — Business Assumption Stress Testing

data-aigotesting
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Stripe Integration ExpertA

Production-grade Stripe integrations: subscriptions with trials and proration, one-time payments, usage-based billing, checkout sessions, idempotent webhook handlers, customer portal, and invoicing. Covers Next.js, Express, and Django patterns. Use when integrating Stripe for the first time, debugging webhook reliability issues, migrating from a different payment provider, or adding usage-based billing to an existing subscription product.

data-aitypescriptrust
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16,216
SyllabusA

Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Cons...

data-aijavascriptpython
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16,216
Tc TrackerA

Use when the user asks to track technical changes, create change records, manage TC lifecycles, or hand off work between AI sessions. Covers init/create/update/status/resume/close/export workflows for structured code change documentation.

data-aipythongo
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TcA

Track technical changes with structured records, a state machine, and session handoff. Usage: /tc <init|create|update|status|resume|close|export|dashboard> [args]

data-aipythonrust
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16,216
TddA

Generate tests, analyze coverage, and run TDD workflows. Usage: /tdd <generate|coverage|validate> [options]

data-aipython
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16,216
Team CommunicationsA

Write internal company communications — 3P updates (Progress/Plans/Problems), company-wide newsletters, FAQ roundups, incident reports, leadership updates, status reports, project updates, and general internal comms. Use this skill any time the user asks to draft, edit, or format something meant for internal audiences. Trigger on keywords like "3P", "weekly update", "newsletter", "FAQ", "internal comms", "status report", "company update", "team update", "incident report", or any request to su...

data-airustgo
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16,216
Tech Debt TrackerA

Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Use when users mention tech debt, code quality, refactoring priority, debt scoring, cleanup sprints, or code health assessment. Also use for legacy code modernization planning and maintenance cost estimation.

data-aigorefactoring
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16,216
Tech DebtA

Scan, prioritize, and report technical debt. Usage: /tech-debt <scan|prioritize|report> [options]

data-ai
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16,216
Terraform PatternsA

Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices.

data-aipythongo
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16,216
TestrailA

Sync tests with TestRail. Use when user mentions "testrail", "test management", "test cases", "test run", "sync test cases", "push results to testrail", or "import from testrail".

data-aitypescriptbash
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16,216
Threat DetectionA

Use when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry. Covers hypothesis-driven threat hunting, IOC sweep generation, z-score anomaly detection, and MITRE ATT&CK-mapped signal prioritization.

data-aipythonbash
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16,216
User StoryA

Generate user stories with acceptance criteria and sprint planning. Usage: /user-story <generate|sprint> [options]

data-aisecurity
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16,216
Vendor ManagementA

Use when reviewing, scoring, or auditing third-party SaaS / vendor relationships — running a vendor scorecard, tracking SLA compliance, classifying third-party risk, preparing a tier-1 vendor review, or auditing the SaaS portfolio. Triggers on "vendor SLA", "vendor scorecard", "third-party risk", "TPRM", "vendor review", "SaaS audit", "supplier performance", "vendor health check", "renewal review". Forks context so large vendor catalogs (50-500 line items) and SLA logs don't pollute the paren...

data-aipythonrust
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16,216
Video Content StrategistA

Use when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing long-form content into video. Triggers: 'start a YouTube channel', 'video content strategy', 'write a video script', 'repurpose into video', 'YouTube SEO', 'short-form video'. NOT for written blog content (use content-production). NOT for social captions without video (use social-media-manager).

data-airustgo
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16,216
Vpe AdvisorA

VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing → screen → onsite → offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and production discipline (on-call, deployment cadence, postmortem culture). Use when sprint velocity is dropping, eng hiring is broken, team structure is unclear, or deciding when to add a...

data-aipythongo
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16,216
Vpe ReviewA

/cs:vpe-review <plan> — Throughput-first VP of Engineering interrogation of any plan that touches delivery, eng hiring, team structure, or production discipline.

data-aipythongo
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Wiki IngestA

Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index, append to log. Usage /wiki-ingest <path-to-source>

data-aigo
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Wiki InitA

Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic "<topic>" [--tool all|claude-code|codex|cursor|antigravity]

data-aigit
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16,216
Wiki LintA

Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report with suggested actions. Usage /wiki-lint [--stale-days N] [--log-gap-days N]

data-ai
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Wiki LogA

Show recent entries from the LLM Wiki log (wiki/log.md). Uses the standardized ## [YYYY-MM-DD] header format so grep + tail works. Usage /wiki-log [--last N] [--op ingest|query|lint|...]

data-aibash
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Wiki QueryA

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>"

data-aipythongo
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16,216
Write A SkillA

Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author a new skill.

data-aipythongo
0
16,216
X Twitter GrowthA

X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.

data-aipythongo
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16,216
Agent ProtocolA

Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.

data-aigosecurity
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16,216
Ai Act ReadinessA

/cs:ai-act-readiness <system> — EU AI Act 6-question forcing interrogation. Use during AI-system intake, before EU deployment, or during annual compliance refresh as Article 113 obligations phase in (2025-02-02 / 2025-08-02 / 2026-08-02 / 2027-08-02).

data-aipythongo
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Aims AuditA

/cs:aims-audit <scope> — ISO/IEC 42001 AIMS internal-audit 6-question forcing interrogation. Use before certification stage 1, before annual internal audit cycles, or when onboarding a new AI system into an existing AIMS.

data-aipythongo
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Compliance OsA

Compliance OS — meta-orchestrator that lets compliance teams CONFIGURE which frameworks apply, COMPUTE cross-framework control overlap, SIMULATE internal audits, and CONSOLIDATE evidence across multiple frameworks. Four decisions: (1) Given a company profile, which of the 12 supported frameworks apply (ISO 27001/13485/42001/14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR, NIST CSF 2.0, NIS2, HIPAA)? (2) Across selected frameworks, which controls overlap and how much evidence reuses? (3) For a...

data-aipythonrust
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Compliance ReadinessA

/cs:compliance-readiness <program> — Multi-framework compliance officer 6-question forcing interrogation of any compliance program. Use before starting a new framework, planning the annual audit calendar, or preparing for certification stage 1.

data-aipythonbash
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Fda Qsr Audit PrepA

/cs:fda-qsr-audit-prep <scope> — FDA 21 CFR 820 (QSR / QMSR) audit 6-question forcing interrogation. Post-Feb 2026 substantially harmonized with ISO 13485. Use before annual internal QSR audit, pre-FDA-inspection readiness, or Form 483 response.

data-aipythonbash
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Gdpr Audit PrepA

/cs:gdpr-audit-prep <scope> — GDPR audit 6-question Article-cited forcing interrogation. Use before annual internal GDPR review, post-breach internal audit, DPA investigation readiness, or acquisition due diligence.

data-aipythongo
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Iso13485 Audit PrepA

/cs:iso13485-audit-prep <scope> — ISO 13485 QMS audit 6-question forcing interrogation. Design controls + CAPA + post-market focused. Use before Clause 8.2.4 internal audit, MDR / FDA QSR alignment review, or product-launch DHF closure audit.

data-aipythonbash
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Iso27001 Audit PrepA

/cs:iso27001-audit-prep <scope> — ISO 27001 ISMS audit readiness 6-question forcing interrogation. Use before annual Clause 9.2 internal audit, surveillance audit prep, or stage 1 certification readiness.

data-aipythonbash
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16,216
Soc2 Audit PrepA

/cs:soc2-audit-prep <scope> — SOC 2 Type II readiness 6-question forcing interrogation. Observation-period focused. Use before Type II observation begins, mid-period checkpoint, or pre-field-test month-10 readiness.

data-aipythongo
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EngineeringA

Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw.

data-aipythongo
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16,216
Marketing SkillA

42 marketing agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more coding agents. 7 pods: content, SEO, CRO.

data-aipythongo
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16,216
A11y AuditA

Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.

data-aipythongo
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16,216
Adversarial ReviewerA

Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.

data-airustgo
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16,216
Ai SecurityF

Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.

data-aipythonrust
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16,216
AgenthubA

Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.

data-aipythongo
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16,216