sexp
How the Zig S-expression engine and typed KiCad models work, how they are exposed to Python (pyzig_sexp), and the invariants around parsing, formatting, and freeing. Use when working with KiCad file parsing, S-expression generation, or layout sync.
onlyfansapi-skill
Query OnlyFans data and analytics via the OnlyFansAPI.com platform. Get revenue summaries across all models, identify top-performing models, analyze Free Trial and Tracking Link conversion rates, compare link earnings, and much more! Use when users ask about anything related to OnlyFans.
excel-dcf-modeler
Build discounted cash flow (DCF) valuation models in Excel with free cash flow projections, WACC calculations, and sensitivity analysis for investment banking and corporate finance teams Activates when you request "excel dcf modeler" functionality.
axiom-sqlitedata
SQLiteData queries, @Table models, Point-Free SQLite, RETURNING clause, FTS5 full-text search, CloudKit sync, CTEs, JSON aggregation, @DatabaseFunction
pricing-strategy
Help users design and optimize pricing strategies. Use when someone is setting prices for the first time, considering freemium vs paid models, optimizing monetization, dealing with willingness to pay questions, or transitioning between pricing models.
multi-model-validation
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.2.0 - Direct API prefixes (mmax/, kimi/, glm/) for cost savings. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "minimax", "kimi", "glm", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".
building-with-openai-agents
Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing. Also for using LiteLLM to run agents on free/alternative models (Anthropic, Gemini). NOT for general OpenAI API usage (use openai-python SDK docs instead).
saving-codeacts
Save executed Python code as reusable tools in the gentools package. Use when preserving successful code executions for later reuse. Covers creating package structure (api.py, impl.py), defining Pydantic output models, and implementing the run() interface.
output-parsers
Generate output parsers for mcptools with unstructured return types. Use when a tool returns raw strings or Result models with single str fields and needs structured ParseResult output. Covers testing tools, identifying parseable structures, extending modules with ParseResult models, and creating parser implementations.
sap-ai-core
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
ai-music-generation
Generate AI music and songs with Diffrythm, Tencent Song Generation via inference.sh CLI. Models: Diffrythm (fast song generation), Tencent Song Generation (full songs with vocals). Capabilities: text-to-music, song generation, instrumental, lyrics to song, soundtrack creation. Use for: background music, social media content, game soundtracks, podcasts, royalty-free music. Triggers: music generation, ai music, generate song, ai composer, text to music, song generator, create music with ai, suno alternative, udio alternative, ai song, ai soundtrack, generate soundtrack, ai jingle, music ai, beat generator
dev_invoke_kimi-cli
Delegate testing, QA, and code review tasks to Opencode CLI using Kimi K2.5 model via markdown file handoff. Write test request to TASK.md, Opencode with Kimi K2.5 generates tests/reviews, outputs to OUTPUT.md. Use for test generation, QA verification, edge case detection, code coverage analysis, security reviews. Triggers: kimi, kimi k2.5, kimi cli, opencode kimi, test generation, QA, quality assurance, code review, unit tests, integration tests, edge cases, test coverage, testing, kimisubagent, togetherai kimi, opencode/kimi-k2.5-free, togetherai/moonshotai/Kimi-K2.5 Prerequisites: Opencode CLI installed, Together.ai API key (if using togetherai provider) Models: opencode/kimi-k2.5-free (recommended), togetherai/moonshotai/Kimi-K2.5 (alternative)
indie-monetization-strategist
Monetization strategies for indie developers, solopreneurs, and small teams. Covers freemium models, SaaS pricing, sponsorships, donations, email list building, and passive income for developer tools, content sites, and educational apps. Activate on 'monetization', 'make money', 'pricing', 'freemium', 'SaaS', 'sponsorship', 'donations', 'passive income', 'indie hacker'. NOT for enterprise sales, B2B outbound, VC fundraising, or large-scale advertising (use enterprise/marketing skills).
product-led-growth
Expert in product-led growth (PLG) - the go-to-market strategy where the product itself drives customer acquisition, activation, conversion, and expansion. Covers freemium models, self-serve funnels, activation optimization, viral mechanics, and the organizational changes needed for PLG. Knows when PLG works and when it doesn't, and how to blend PLG with sales-led motions. Use when "product-led, PLG, freemium, self-serve, product qualified lead, activation rate, time to value, bottom-up growth, " mentioned.
structured-output
Force LLMs to return typed, validated JSON — not free-text. Use when someone asks to "get structured data from LLM", "parse LLM response as JSON", "make AI return typed output", "validate LLM output", "extract structured data with AI", "use instructor with OpenAI", or "get reliable JSON from Claude/GPT". Covers OpenAI structured outputs, Anthropic tool_use for structured data, Instructor library, Zod schemas, Pydantic models, and retry strategies for malformed responses.
Google Gemini Embeddings
This skill provides complete coverage of Google Gemini embeddings API (gemini-embedding-001) for building RAG systems, semantic search, document clustering, and similarity matching. Use when implementing vector search with Google's embedding models, integrating with Cloudflare Vectorize, or building retrieval-augmented generation systems. Covers SDK usage (@google/genai), fetch-based Workers implementation, batch processing, 8 task types (RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, SEMANTIC_SIMILARITY, etc.), dimension optimization (128-3072), and cosine similarity calculations. Prevents 8+ embedding-specific errors including dimension mismatches, incorrect task types, rate limiting issues (100 RPM free tier), vector normalization mistakes, text truncation (2,048 token limit), and model version confusion. Includes production-ready RAG patterns with Cloudflare Vectorize integration, chunking strategies, and caching patterns. Token savings: ~60%. Production tested. Keywords: gemini embeddings, gemini-embedding-001, google embeddings, semantic search, RAG, vector search, document clustering, similarity search, retrieval augmented generation, vectorize integration, cloudflare vectorize embeddings, 768 dimensions, embed content gemini, batch embeddings, embeddings api, cosine similarity, vector normalization, retrieval query, retrieval document, task types, dimension mismatch, embeddings rate limit, text truncation, @google/genai
flutter-mobile
This skill provides patterns and templates for Flutter 3.38 / Dart 3.11 cross-platform mobile development. It should be activated when building Flutter screens, Riverpod providers, Freezed models, or widget tests.
axiom-sqlitedata
SQLiteData queries, @Table models, Point-Free SQLite, RETURNING clause, FTS5 full-text search, CloudKit sync, CTEs, JSON aggregation, @DatabaseFunction
ax-grdb
GRDB direct SQLite, DatabaseQueue/Pool, raw SQL, ValueObservation, DatabaseMigrator, SQLiteData Point-Free @Table models, CTE, FTS5, CloudKit SyncEngine, database migration safety, Realm-to-SwiftData migration
pricing-strategy
Help users design and optimize pricing strategies. Use when someone is setting prices for the first time, considering freemium vs paid models, optimizing monetization, dealing with willingness-to-pay questions, or transitioning between pricing models.
Pricing Strategy
USE THIS SKILL when the user asks about pricing strategy, monetization design, pricing models, price optimization, willingness to pay, price sensitivity, pricing tiers, bundling strategy, or revenue model design. Trigger terms: "pricing", "price", "monetization", "willingness to pay", "price sensitivity", "Van Westendorp", "Gabor-Granger", "pricing tiers", "freemium", "bundling", "price point", "cost-plus", "value-based pricing", "pricing architecture", "price optimization", "how much to charge", "pricing model".
freeride
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.
pricing-strategy
Optimize pricing pages, pricing models, and pricing strategy. Use when the user asks about pricing, pricing pages, how to price a product, tiered pricing, freemium vs. paid, price testing, pricing psychology, or pricing page design. Trigger phrases include "pricing", "pricing page", "how to price", "pricing strategy", "freemium", "tiered pricing", "per-seat pricing", "usage-based pricing", "pricing experiment", "price anchoring", "pricing psychology", "pricing optimization".
antigravity-proxy
Set up and use Antigravity Claude Proxy — a free proxy server that exposes Anthropic-compatible API backed by Google's Antigravity Cloud Code. Provides free access to Claude (Opus, Sonnet) and Gemini (Flash, Pro) models. Use when configuring OpenClaw agents with free Claude/Gemini models, setting up proxy for Claude Code CLI, checking proxy health/quota, adding Google accounts, or troubleshooting proxy issues. Triggers on antigravity, proxy, free claude, free gemini, cloud code, model quota, proxy setup, openclaw model config.