skills-repo

Master orchestrator for 3D/2D game development — engine selection, architecture, asset pipelines, physics, multiplayer, and deployment. Routes to 10 Three.js sub-skills and 7 reference guides.

ANIMA Manifest Designer — Designs, validates, and evolves the three core YAML standards that define the ANIMA ecosystem: anima_module.yaml, anima_stack.yaml, anima_program.yaml. This is the "npm package.json of robotics" — whoever defines this standard owns the ecosystem. Modes: MODULE (design module manifest), STACK (design stack manifest), PROGRAM (design program manifest), VALIDATE (check a manifest against the schema), PROFILE (define data profiles).

Mass marketing automation for RobotFlow Labs projects. 8 modes: SUBMIT (awesome lists, GitHub Discussions), SOCIAL (X/Twitter, LinkedIn, Reddit drafts), HN (Hacker News Show HN), REDDIT (browser-post to subreddits), BLOG (Dev.to/Medium), HUNT (ProductHunt), SCAN (find communities), BLITZ (all at once). Use via /anima-marketing [MODE] [project-url-or-path]. Supports browser automation for X.com, Reddit, HN via native Computer Use (embedded) and MCP browser tools as fallback. GitHub submissions via gh CLI.

ANIMA company strategy war room. Use when discussing AIFLOW LABS goals, ANIMA roadmap, competitive positioning, fundraising, Shenzhen trip planning, module prioritization, hardware integration strategy, or any company-level decision making. Loads full brainstorming vault + ANIMA ecosystem memory + competitive intelligence. Modes: BRAINSTORM (open discussion), STATUS (where are we), PLAN (sprint planning), COMPETE (competitive analysis), FUND (fundraising prep), DECIDE (make + record decisions).

ANIMA Supervisor Agent — The safety-first, quality-enforcing agent that oversees all ANIMA module development, pipeline compilation, and deployment. Acts as the SDK's brain during development. Modes: BUILD (module development), VALIDATE (pipeline checking), SAFETY (supervisor design), INTEGRATE (hardware integration), DATA (flywheel pipeline). Use when building ANIMA modules, designing safety systems, validating pipelines, or working on the Intelligence Compiler SDK.

ANIMA Strategy Validator — Goes online to find pitfalls, validate claims, and stress-test the ANIMA strategy against what competitors are ACTUALLY building. Searches for real announcements, GitHub repos, funding news, product launches, and technical claims that could invalidate or strengthen our positioning. Modes: VALIDATE (check our claims), HUNT (find new competitors), DESTROY (build destruction playbook for specific competitor), MONITOR (track changes).

AuraMaxx — local secrets manager, credential agent, and crypto wallet. TRIGGER when: user mentions secrets, credentials, passwords, API keys, tokens, wallets, sending/swapping/funding crypto, login details, credit card info, sharing secrets, or "auramaxx"/"aura" by name. Also trigger for: "log into my <service>", "what is my <service> password", "run this with my <secret>", injecting env vars from stored credentials, diary/logging entries, or wallet balance/transaction requests. DO NOT TRIGGER when: general env var discussion unrelated to secret storage, generic auth/login code implementation, or non-AuraMaxx wallet code. Provides: secret CRUD (list/get/set/inject/share/delete), human-approval auth flows, crypto wallet ops (send/swap/fund/balance), daily diary logging, and MCP tool integration. Prefer MCP tools when available; fall back to CLI.

Analyze autoresearch experiment results. Reads results.tsv, git log, and current train.py to summarize findings, identify patterns, suggest next experiments. Use when the user asks "analyze results", "what worked", "summarize experiments", or "what should we try next".

Compare autoresearch results across runs, branches, or machines. Reads results.tsv from multiple branches and generates comparison tables. Use when the user asks "compare runs", "how did machine X vs Y", or "cross-run analysis".

Debug and fix autoresearch train.py crashes or errors. Reads run.log, identifies the issue, and applies a fix. Use when the user reports a crash, OOM error, or training failure.

Start or resume the autonomous autoresearch experiment loop. Runs indefinitely — modifies train.py, trains for 5 min, evaluates val_bpb, keeps or reverts, repeats. Use when the user says "start autoresearch", "run the loop", "experiment overnight", or similar.

Set up a new autoresearch experiment run from scratch. Handles branch creation, data verification, baseline run, and results.tsv initialization. Use when starting fresh or on a new machine.

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing

Creates 3D or 2D game-ready assets from reference images. Use when the user provides an image (concept art, sketch, photo, screenshot) and wants to generate a 3D model description, Blender Python script, or 2D sprite specification for their game.

Creates a complete game development plan from an existing game story. Use when the user has a game story document and wants to turn it into a technical implementation plan covering architecture, milestones, asset lists, engine configuration, and task breakdown.

Interactive game story creator. Use when the user wants to brainstorm, design, or write a game narrative — including world-building, characters, plot arcs, quests, dialogue, and lore. Guides the user step-by-step through story creation with choices at each stage.

Deep-research any investor online (LinkedIn, Crunchbase, Twitter, fund website) and build a comprehensive intelligence profile. Saves to intel/investors/ for use by /investor-intelligence scoring, messaging, and /create-dd-robotflow pipeline.

Batch-sync enriched investor profiles from intel/ into Claude memory for cross-session recall. Creates condensed memory files and updates MEMORY.md index. Run after enriching investors to make intel available in all future conversations.

Full investor pipeline — research, score, rank investors, then generate personalized Telegram messages, emails, and follow-up sequences to ask for calls and send pitch/DD. Chains into /create-dd-robotflow to produce personalized DD packages per investor. 6 modes: SCAN (rank all), APPROACH (individual outreach), CAMPAIGN (batch), MATCH (quick fit check), MESSAGE (generate ready-to-send messages), PIPELINE (full funnel).

Ad creative and copy generation — complete campaigns across Google, Meta, LinkedIn, Twitter with copy variations, targeting strategies, and budget recommendations. Produces AD-CAMPAIGNS.md. Use via /marketing ads <url>.

Full marketing audit with 5 parallel subagents — content, conversion, competitive, technical SEO, and strategy analysis. Produces scored, prioritized, client-ready MARKETING-AUDIT.md report. Use via /marketing audit <url>.

Brand voice analysis and guidelines — voice dimensions, personality archetypes, vocabulary analysis, competitor comparison, consistency audit, and messaging hierarchy. Produces BRAND-VOICE.md. Use via /marketing brand <url>.

Competitive intelligence analysis — identify competitors, analyze strategies, produce comparison reports with positioning gaps and differentiation opportunities. Produces COMPETITOR-REPORT.md. Use via /marketing competitors <url>.

Copywriting analysis and generation — score existing copy, generate optimized alternatives with before/after examples using proven frameworks (PAS, AIDA, 4U). Produces COPY-SUGGESTIONS.md. Use via /marketing copy <url>.

Email sequence generation — welcome, nurture, launch, re-engagement, and upgrade sequences with subject lines, body copy, timing, and segmentation strategies. Produces EMAIL-SEQUENCES.md. Use via /marketing emails <topic/url>.

Sales funnel analysis and optimization — map conversion paths, identify drop-off points, quantify friction, and recommend optimizations with revenue impact estimates. Produces FUNNEL-ANALYSIS.md. Use via /marketing funnel <url>.

Landing page CRO analysis — section-by-section conversion rate optimization teardown with 7-point framework, scoring, and prioritized actionable fixes. Produces LANDING-CRO.md. Use via /marketing landing <url>.

Product/service launch playbook generator — week-by-week tactical plan with templates, checklists, email sequences, social posts, and metrics tracking. Produces LAUNCH-PLAYBOOK.md. Use via /marketing launch <product>.

Client proposal generator — professional marketing services proposals with tiered pricing, ROI projections, and scope of work. Produces CLIENT-PROPOSAL.md. Use via /marketing proposal <client>.

PDF marketing report generator — professional PDF with score gauges, bar charts, comparison tables, and prioritized action plans. Requires reportlab. Produces MARKETING-REPORT.pdf. Use via /marketing report-pdf <url>.

Marketing report generator (Markdown) — compiles all audit and analysis results into a single client-ready document with scores, findings, and action plans. Produces MARKETING-REPORT.md. Use via /marketing report <url>.

SEO content audit — on-page SEO checklist, E-E-A-T assessment, keyword analysis, technical SEO, content gap analysis, schema markup, and Core Web Vitals. Produces SEO-AUDIT.md. Use via /marketing seo <url>.

Full marketing suite — audit websites, generate copy, email sequences, social calendars, ad campaigns, SEO audits, brand voice analysis, competitive intelligence, funnel optimization, landing page CRO, launch playbooks, client proposals, and reports (Markdown + PDF). Combines automated analysis via Python scripts with expert-level review. Use `/marketing <command> <url>` to run any sub-skill.

Social media content calendar and generation — 30-day content calendar with platform-specific posts, hooks, hashtags, and repurposing strategy. Produces SOCIAL-CALENDAR.md. Use via /marketing social <topic/url>.

CFO-mode financial strategy review. Evaluate burn rate, runway, unit economics, pricing strategy, fundraising readiness, cap table, vendor spend, and financial projections. Three modes: FUNDRAISE (optimize for investor narrative), GROWTH (optimize for scaling spend), SURVIVAL (cut to extend runway).

CTO-mode technical strategy review. Evaluate architecture decisions, tech stack, build-vs-buy, infrastructure costs, scalability, security posture, IP protection, hiring plan, and technical debt payoff. Three modes: SCALE (optimize architecture for growth), CONSOLIDATE (reduce complexity), INNOVATE (R&D and technical moats).

Marketing-mode review for campaigns, content, brand, and growth. Evaluate content strategy, SEO, social media, paid acquisition, email campaigns, conversion funnels, and brand consistency. Three modes: BRAND (build awareness), ACQUIRE (drive signups), RETAIN (reduce churn and increase engagement).

Marketing & Partnerships mode review. Evaluate GTM strategy, positioning, competitive landscape, partnership fit, distribution channels, BD pipeline, co-marketing opportunities, and ecosystem strategy. Three modes: LAUNCH (new market entry), EXPAND (grow existing channels), ECOSYSTEM (platform play).

Product management review. Evaluate product strategy, roadmap prioritization, feature sequencing, user research quality, metrics frameworks, and cross-functional alignment. Three modes: STRATEGY (long-term direction), EXECUTION (sprint-level delivery), DISCOVERY (research and validation).

Product Requirements Document generator and reviewer. Create, review, or refine PRDs with structured user stories, acceptance criteria, technical constraints, success metrics, and risk assessment. Three modes: CREATE (new PRD from scratch), REVIEW (evaluate existing PRD), REFINE (improve a draft PRD).