claude-code-skills

45 production-ready marketing skills across 8 pods: Content (copywriting, content strategy, content production), SEO + AEO (traditional audits, schema markup, programmatic SEO, site architecture, plus Answer Engine Optimization for LLM citation in Perplexity/Claude/Mistral), CRO (A/B testing, forms, popups, signup flows, pricing, onboarding), Channels (email sequences, social media, paid ads, cold email, X/Twitter growth), Growth (launch strategy, referral programs, free tools), Intelligence (competitor analysis, marketing psychology, analytics tracking), and Sales enablement. Agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw.

33 C-level advisory skills + c-level-agents plugin layer (13 cs-* persona agents + 21 /cs:* slash commands). Complete virtual board of directors with CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO advisors plus General Counsel, Chief Data Officer, Chief AI Officer, Chief Customer Officer, and VP of Engineering (delivery throughput DORA analyzer, eng hiring funnel calculator, eng team structure designer), executive mentor, founder coach, Chief of Staff router, board meetings, decision logger, board deck builder, scenario war room, competitive intel, org health diagnostic, M&A playbook, international expansion, culture architect, change management, strategic alignment, and the founder-mode plugin (office-hours, boardroom, brief/decide/execute/post-mortem pipeline, cross-model consensus, decision freeze).

Founder-mode executive team plugin: 13 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, Chief of Staff, General Counsel, Chief Data Officer, Chief AI Officer, Chief Customer Officer, VP of Engineering) plus 21 /cs:* slash commands for forcing-question office hours (incl. /cs:vpe-review), multi-role boardroom deliberation, strategic sprint pipeline, and meta routing. Wraps the 33 c-level skills (including vpe-advisor with delivery throughput DORA analyzer + eng hiring funnel calculator + eng team structure designer) with cognitive gearing and artifact handoffs.

General Counsel advisory for startups: contract risk scanner (12 founder-killer patterns: auto-renew traps, uncapped indemnity, vague IP, MFN pricing, missing DPA, one-sided venue, broad non-solicit, perpetual license-back, etc.) and term sheet analyzer (0-100 founder-friendliness score across 12 dimensions: liquidation preference, anti-dilution, option pool, board, vesting, drag-along, protective provisions, info rights, dividends, valuation). 3 in-depth references: contracts playbook (7 startup contract types), IP + regulatory landscape (HIPAA, GDPR, FDA, fintech, EU AI Act + SOC 2 to ISO sequencing), term sheet decoder. Stdlib-only. Standalone-installable; also bundled in c-level-skills. NOT a substitute for licensed counsel.

Chief Data Officer advisory: AI training data audit (origin x class x use-case matrix with GDPR Art. 6 + EU AI Act citations -> GO/MITIGATE/NO-GO per source), data product strategy picker (warehouse vs lakehouse vs mesh + 6-layer build-vs-buy + 12-month sequencing), data asset valuator (strategic value 0-10 + M&A multiplier with carve-out penalties + 3 ranked productization paths). 4 references answering one decision each: training rights, data product strategy, customer-data-as-asset, data team org evolution. Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate engineering data skills.

VP of Engineering advisory: delivery throughput analyzer (DORA 4 metrics + cycle-time bottleneck identification), eng hiring funnel calculator (7-stage conversion + pipeline gap + weakest-stage fixes), eng team structure designer (squad/tribe model + manager-trigger + director-trigger + span-of-control). 4 in-depth references: DORA framework, eng hiring funnel, eng team structure (Conway's Law), production discipline (on-call, incidents, deployment, SLOs). Stdlib-only. Standalone-installable; also bundled in c-level-skills. NOT a CTO skill — VPE owns how the team ships, CTO owns what to build.

Chief Customer Officer advisory for startups: retention decomposition analyzer (honest GRR vs NRR + 7-category churn taxonomy), customer segmentation designer (4-tier framework + ICP fit scoring + kill list), CS coverage calculator (pooled vs named CSM models + ratio math + 12-month hiring plan). 4 in-depth references: retention decomposition, customer segmentation strategy, CS coverage model, CS team org evolution (CSM vs Support vs AM vs IM vs CS Ops). Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate business-growth tactical CS skills.

Chief AI Officer advisory: model build-vs-buy calculator (API vs fine-tune vs build with 3-year TCO across 6 paths + breakeven balancing economics with practical feasibility), AI risk classifier (EU AI Act tier with 7 Article citations + US state patchwork: NYC LL 144, CO AI Act, IL HB 53, CA SB 1001, IL BIPA + industry overlays for FDA AI/ML, CFPB Circular 2023-03, NYDFS Reg 23, NAIC, ECOA, Fed SR 11-7), AI cost economics (API vs self-hosted breakeven with 2026 pricing across A100/H100, utilization reality, hidden costs). 4 in-depth references each citing 5+ authoritative sources. Stdlib-only. Standalone-installable; also bundled in c-level-skills. Strategic only - does not duplicate engineering AI/ML skills.

40 advanced engineering skills: agent designer, agent workflow designer, AgentHub, RAG architect, database designer, migration architect, observability designer, dependency auditor, release manager, API reviewer, CI/CD pipeline builder, MCP server builder, skill security auditor, performance profiler, Helm chart builder, Terraform patterns, focused-fix, browser-automation, spec-driven-workflow, secrets-vault-manager, sql-database-assistant, self-eval, llm-cost-optimizer, prompt-governance, llm-wiki (second brain for Obsidian + Claude Code, Karpathy pattern), 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 more. Agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw.

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, Cursor, OpenClaw.

14 regulatory affairs & quality management skills for HealthTech/MedTech: ISO 13485 QMS, MDR 2017/745, FDA 510(k)/PMA, GDPR/DSGVO, ISO 27001 ISMS, SOC 2, CAPA management, risk management, clinical evaluation, and more. Agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw.

13 production-ready product skills: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert (Apple Human Interface Guidelines), spec-to-repo. Agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw.

9 project management skills: senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template scaffolder, and Atlassian MCP-bundled (Remote SSE) integration. Agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw.

5 business & growth skills: customer success manager, sales engineer, revenue operations, contract & proposal writer, and BizDev-toolkit. Agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw.

3 finance skills: financial analyst (ratio analysis, DCF valuation, budgeting, forecasting), SaaS metrics coach (ARR, MRR, churn, CAC, LTV, NRR, Quick Ratio, 12-month projections), and business investment advisor. 7 Python automation tools. Agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw.

Production-grade Playwright testing toolkit. Generate tests from specs, fix flaky failures, migrate from Cypress/Selenium, sync with TestRail, run on BrowserStack. 55+ ready-to-use templates, 3 specialized agents, smart reporting that plugs into your existing workflow.

Self-Improving Agent: curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills. Provides /si:review, /si:promote, /si:extract, /si:status, and /si:remember slash commands.

Autonomous experiment loop that optimizes any file by a measurable metric. 5 slash commands, 8 evaluators, configurable loop intervals (10min to monthly).

Google Workspace administration via the gws CLI. Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. 5 Python tools, 3 reference guides, 43 built-in recipes, 10 persona bundles.

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.

Multi-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.

WCAG 2.2 accessibility audit and fix skill for React, Next.js, Vue, Angular, Svelte, and HTML. Static scanner detecting 20+ violation types, contrast checker with suggest mode, framework-specific fix patterns, CI-friendly exit codes.

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

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.

Helm chart development agent skill and plugin for Claude Code, Codex, Cursor, OpenClaw — chart scaffolding, values design, template patterns, dependency management, security hardening, and chart testing.

Terraform infrastructure-as-code agent skill and plugin for module design patterns, state management strategies, provider configuration, security hardening, and CI/CD plan/apply workflows. Covers mono-repo vs multi-repo, workspaces, policy-as-code, and drift detection.

Structured research summarization agent skill and plugin for Claude Code and Codex. Summarize academic papers, compare web articles, extract citations, and produce actionable research briefs.

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.

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.

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.

Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools with Z-test, t-test, chi-square, effect sizes, power analysis, and Wilson score intervals.

Master Apple's Human Interface Guidelines (HIG) with focus on 2026 Liquid Glass aesthetics. Design and audit iOS, macOS, and visionOS apps for full compliance and premium feel. Includes hig_checker Python tool for tap targets, contrast, and accessibility validation. Reference docs cover visual design, platform specifics (iOS/macOS/visionOS), and accessibility best practices.

Turn Claude Code + Obsidian into a second brain. The LLM incrementally ingests sources into a persistent, interlinked markdown wiki — building entity/concept/source pages, flagging contradictions, maintaining an index and log. Knowledge compounds instead of being re-derived by RAG on every query. Inspired by Karpathy's LLM Wiki gist. Ships SKILL, 3 sub-agents, 5 slash commands, 8 Python tools (stdlib only), full vault templates, and cross-tool compatibility (Claude Code, Codex CLI, Cursor, Antigravity, OpenCode).

Active coding discipline enforcer based on Karpathy's 4 principles: surface assumptions, keep it simple, make surgical changes, define verifiable goals. Ships 4 Python tools (complexity_checker, diff_surgeon, assumption_linter, goal_verifier), a review agent, /karpathy-check slash command, and a pre-commit hook. All tools stdlib-only.

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.

End-to-end Kubernetes Operator discipline: CRD design, reconcile-loop patterns, and OperatorHub Capability Levels. Ships CRD validator, reconcile-loop linter, and capability auditor (3 stdlib Python tools), 4 references on the operator pattern + CRD design + reconcile patterns + framework comparison (controller-runtime/kubebuilder/operator-sdk/metacontroller/KOPF), CRD + Go controller skeletons, and /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.

End-to-end chaos engineering discipline: design experiments with hypothesis + steady-state metric + blast radius + abort criteria, calculate risk score against error budget, and generate blameless postmortems. 3 stdlib Python tools (experiment_designer, blast_radius_calculator, experiment_postmortem), 4 references on chaos principles + experiment design + 7-attack taxonomy + tooling landscape (Chaos Toolkit/Mesh/Litmus/Gremlin/AWS FIS/DIY), templates for plans + postmortems, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (chaos targets).

End-to-end SLO/SLI/error-budget discipline per Google SRE Workbook. Ships SLO designer (refuses to render without required fields), error-budget calculator with multi-window burn-rate alert thresholds (PromQL-shaped), and SLO reviewer that catches the 7 common bugs (target too high, window too short, no SLI definition, CPU-as-SLI, etc.). 4 references on principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. Asset templates for SLO YAML and error budget policy. /slo-design slash command. NOT a generic observability skill.

Skill-author skill: create new agent skills with proper structure, progressive disclosure, and bundled resources. Enhanced from Matt Pocock's MIT-licensed write-a-skill (https://github.com/mattpocock/skills) with: (1) stdlib Python validation tools (description validator, structure validator, review-checklist runner), (2) 3 reference docs citing 5+ authoritative sources each (progressive disclosure principles, description design patterns, quality gates), (3) cs-skill-author persona agent + /cs:write-a-skill slash command. Matt's voice and 3-phase workflow (Gather → Draft → Review) preserved verbatim per his MIT license. Use when user wants to create, write, build, or author a new agent skill.

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Enhanced from Matt Pocock's MIT-licensed caveman skill (https://github.com/mattpocock/skills) with: (1) stdlib Python tools (text compressor, token-savings estimator, caveman-style linter), (2) 3 reference docs citing 5+ authoritative sources each (compression principles, technical communication patterns, when caveman backfires), (3) cs-caveman-mode persona agent + /cs:caveman slash command. Matt's voice and persistence rules preserved verbatim per MIT. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.

Relentless plan-and-design interrogator. Walks the decision tree of a plan one branch at a time, asking forcing questions sequentially with recommended answers. Explores codebase to resolve answers where possible. Enhanced from Matt Pocock's MIT-licensed grill-me skill (https://github.com/mattpocock/skills) with: (1) stdlib Python tools (decision-tree extractor, question generator, session-state tracker), (2) 3 reference docs citing 5+ authoritative sources each (forcing-question patterns, decision-tree completeness, when to stop grilling), (3) cs-grill-master persona agent + /cs:grill-me slash command. Matt's relentless one-at-a-time interview discipline preserved verbatim per MIT. Use when user wants to stress-test a plan, get grilled on their design, or says "grill me".

Conversation-handoff document generator. Compacts the current conversation into a markdown handoff so a fresh agent can continue. References existing artifacts (PRDs, plans, ADRs, issues, commits) by path/URL — does not duplicate them. Enhanced from Matt Pocock's MIT-licensed handoff skill (https://github.com/mattpocock/skills) with: (1) stdlib Python tools (template generator, artifact deduplicator, skill recommender), (2) 3 reference docs citing 5+ authoritative sources each (handoff structure, deduplication discipline, next-session skill matching), (3) cs-handoff-author persona agent + /cs:handoff slash command. Matt's no-duplication discipline preserved verbatim per MIT. Use when user wants to hand off the current conversation to a fresh agent or starts a new session that picks up prior work.

Agile product ownership for backlog management and sprint execution. User story generation (INVEST-compliant), acceptance criteria patterns (Given/When/Then, rule-based, checklist), epic breakdown with 5 split techniques, sprint planning with velocity-based capacity math, and weighted backlog prioritization. Includes user_story_generator Python tool.

Brain-dump organizer. Ingests an unstructured stream of mixed thoughts, tasks, ideas and transforms it into a clean four-section actionable system (Projects/Ideas, Tasks, Connections, How I Can Help) with zero information loss. Fast-to-action by design — no upfront intake. Asks at most one mid-organization clarifying question when a single item is genuinely ambiguous between task and project. Workspace detection is real (Glob/Grep) — never fabricates connections. Source spec: megaprompts/05-capture-megaprompt.md (PR #657).

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.

Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.

Premium single-file HTML landing page generator with GSAP 3D animations, scroll-triggered effects, and mouse-parallax depth. Forcing 3-4 question grill-me intake (product+pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written. Outputs a single self-contained HTML file (Claude Code) or HTML artifact (Claude.ai) with all CSS/JS inline — only externals are Google Fonts + GSAP via CDN. Configurable brand colors via CSS custom property overrides. Source spec: megaprompts/04-landing-megaprompt.md (PR #657). Distinct from product-team/skills/landing-page-generator (which outputs Next.js TSX for conversion-optimized lead-gen) — this skill is for premium visual one-pagers with motion design.

Multi-source recency research skill. Takes the pulse of any topic across Reddit, Hacker News, the open web, and (optionally) X/Twitter within a configurable recent window (default 30 days). Forcing 2–4 question grill-me intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Phases 1–3 run in parallel per the research-pack convention. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Source spec: megaprompts/01-pulse-megaprompt.md (PR #657). Implements the Agent Integrity Rules block locked down by PR #657 audit: 1 q/sec per platform, three-count tracking (sent/received/cited), retry-once-after-3s, stop-after-3-consecutive-failures.

Academic literature orientation skill. Turns a research question into a strategically planned mini literature review, delivered as a researcher-friendly Word document (.docx). Grill-me intake (research question + framework hint + tentative depth) before recon search; second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth. Configurable depth (5/10/20 Consensus queries) controls coverage vs. speed. Output is a 'launching pad' — orientation guide, not a finished review. Implements research-pack Agent Integrity Rules: 1 q/sec Consensus rate limit, sequential execution, plan-tier detection, three-count tracking (sent/received/cited). Source spec: megaprompts/09-litreview-megaprompt.md (PR #657). Sibling of pulse (research-pack shape).

NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Triggers: 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research', or any grant-related request. NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.

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.

Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Triggers: 'prior art search for [invention]', 'patent search on [topic]', 'freedom to operate analysis', 'FTO for [product]', 'patent landscape for [field]', 'is [invention] novel', 'patents on [topic]', 'competitive patent analysis', 'prior art for litigation', 'patent diligence on [company]'. Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.

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 Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Triggers whenever a user uploads a syllabus, course outline, or curriculum document and wants supplementary readings. Also triggers on: 'syllabus reading list', 'find papers for my course', 'create a reading list from this syllabus', 'recent research for my class', 'supplementary readings', 'find journal articles for these topics', 'what recent papers cover this material', 'any new research on these course topics', 'update my syllabus with recent papers'. Even casual mentions when a syllabus is attached should trigger this skill.

Browser automation skill for controlling Google's NotebookLM. Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio Overview, infographics, slide decks, study guides, briefing docs, mind maps, timelines, FAQs), and creating new notebooks. Triggers on any phrase involving NotebookLM — 'open NotebookLM', 'check my [name] notebook', 'pull info from NotebookLM', 'ask my notebook about X', 'add [source] to NotebookLM', 'create an infographic in NotebookLM', 'use NotebookLM Studio', 'generate a slide deck from my notebook', or any variation where the goal involves NotebookLM. Requires browser automation environment — fails gracefully when unavailable.

Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers: 'research [topic]', 'look into [topic]', 'what do we know about [topic]', 'investigate [topic]', 'find me information on [topic]', 'do some research on [topic]', 'I need to understand [topic]', or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.

PreToolUse security reminder hook for Claude Code. Catches 12 common security anti-patterns in Edit/Write/MultiEdit operations BEFORE they happen — command injection (exec, os.system, subprocess shell=True), XSS (innerHTML, dangerouslySetInnerHTML, document.write), SQL injection (f-string queries, .format), unsafe deserialization (pickle, yaml.unsafe_load), code injection (eval, new Function), and GitHub Actions workflow injection. Session-state caching prevents duplicate warnings; 30-day auto-cleanup of stale state files. Disable per-session with ENABLE_SECURITY_REMINDER=0. Ported from David Dworken's MIT-licensed plugin at github.com/alexbramall/aeo-box.

6 BizOps skills + 1 orchestrator: process-mapper (BPMN + bottleneck + cycle-time), vendor-management (SLA + risk + scorecard), capacity-planner (Erlang-C queueing math for ops teams), internal-comms (ADKAR + Kotter 8-step change comms), knowledge-ops (SOP + runbook authoring with 5W2H validation, context: fork), procurement-optimizer (UNSPSC-aligned spend categorization + supplier consolidation). Orchestrator skill uses context: fork to route inquiries to the right sub-skill via Matt Pocock grill discipline. 18 stdlib-only Python tools, 24+ reference docs each citing ≥7 authoritative sources, asset templates per skill. Distinct from business-growth (external sales) and c-level-advisor (strategic).

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).