Embeddings
Vector embeddings and similarity
competitive-intel
by CyranoB
ALWAYS use this skill when a user wants to understand a competitive landscape or position a product against competitors. Two modes: (1) Market landscape — user has a product idea or wants to map a market: "who are the competitors in X space", "I want to build a Y — what's out there", "market study for Z". (2) Competitive positioning — user has a product and wants strategic comparison: "how do we compare to competitors", "what are we missing vs the competition", "competitive analysis of our product". Trigger on: "competitive landscape", "market study", "who are the competitors", "competitive analysis", "I want to build X — what exists", "what are the alternatives to X", "how does X compare to the market", "gap analysis", "market map". Do NOT trigger for personal buying decisions (use tech-advisor), general web research, news monitoring, or fact-checking.
qmd Documentation Search
by docxology
Preserve the dirty worktree and the documentation hand-pass freeze.
file-operations
by chaterm
Linux file and directory operations
searxng-search
by walterra
Web search and content extraction via SearXNG metasearch engine. Use when you need to search the web, look up documentation, research APIs, find current information, or extract content from URLs. No API keys required, no rate limits, privacy-preserving.
beepctl
by blqke
Use when sending messages, searching chats, or managing conversations across messaging platforms (Telegram, WhatsApp, Slack, iMessage, etc.) via Beeper Desktop API.
x-research
by rohunvora
General-purpose X/Twitter research agent. Searches X for real-time perspectives, dev discussions, product feedback, cultural takes, breaking news, and expert opinions. Works like a web research agent but uses X as the source. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "/x-research", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic. NOT for: posting tweets or account management. Note: currently uses recent search (last 7 days). Full-archive search is available on the same pay-per-use X API plan but not yet implemented in this skill.
x-tweet-search
by b-open-io
Search recent X/Twitter posts by query. Returns RAW TWEETS (last 7 days). Use when user asks "search X for", "find tweets about", "what are people saying about", "Twitter search", "raw tweets about". For AI summaries/sentiment, use x-research instead. Requires X_BEARER_TOKEN.
echovault
by mraza007
Local-first memory for coding agents. You MUST retrieve memories at session start and save memories before session end. This is not optional.
gemini-embeddings
by akrindev
Generate text embeddings using Gemini Embedding API via scripts/. Use for creating vector representations of text, semantic search, similarity matching, clustering, and RAG applications. Triggers on "embeddings", "semantic search", "vector search", "text similarity", "RAG", "retrieval".
ast-bm25-racer
by toxicwind
Estate AST-BM25 Racer, local-heavy edition: hybrid code retrieval plus nanosecond candidate racing. Triggers on: code retrieval, candidate racing, AST search.
search-algorand-examples
by algorand-devrel
Search GitHub for Algorand smart contract examples and patterns. Use when finding example implementations of specific patterns (BoxMap, inner transactions), looking up contract feature usage, discovering Algorand repositories, or retrieving files from algorandfoundation repos. Strong triggers include "find an example of...", "show me how to use BoxMap", "search for voting contract examples", "get the code from puya-ts examples", "find Algorand NFT repositories".
nemotron-retrieval-recipes
by toxicwind
Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron embed/rerank retrieval recipes.
ios-design-guidelines
by dirnbauer
Apple Human Interface Guidelines for iPhone. Use when building, reviewing, or refactoring SwiftUI/UIKit interfaces for iOS. Triggers on tasks involving iPhone UI, iOS components, accessibility, Dynamic Type, Dark Mode, or HIG compliance.
Design Systems Skill
by martinholovsky
Create foundations that empower teams to build consistent, beautiful products.
gemini
by G1Joshi
Google Gemini AI models for multimodal tasks. Use for multimodal AI.
AgentDB Vector Search
by ovachiever
"Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases."
bioservices
by ovachiever
"Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database)."
clip
by ovachiever
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
chroma
by ovachiever
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
llamaindex
by G1Joshi
LlamaIndex data framework for LLMs. Use for RAG applications.
openagent-embedding-resources
by BANG404
Use for the bundled embedding model, provenance, versioned resource installation, checksum verification, packaging, or resource repair behavior.
pywayne-dsp
by wangyendt
Digital signal processing toolkit for filtering, peak detection, detrending, and curve similarity. Use when working with sensor data, signal preprocessing, feature extraction, noise suppression, or time-series analysis. Includes Butterworth filter, One-Euro filter, signal detrending, DTW curve similarity, Welford standard deviation, and sliding window extrema detection.
wicked-garden-qe-ai-feature-test-engineer
by mikeparcewski
Tier-2 specialist — testing LLM-backed features. Prompt-injection probes (direct / indirect / payload-smuggling / multi-turn), jailbreak library (DAN, grandma, token-smuggling, base64), refusal-rate regression, hallucination drift against a caller-provided golden set, output-drift monitors (JSON-schema, token length, citation fidelity). Use when: LLM feature under test, prompt-injection review, jailbreak sweep, refusal-rate check, hallucination regression, RAG citation audit, "does this AI feature still behave after the prompt change". NOT THIS WHEN: post-deploy LLM cost/latency monitoring (use wicked-garden-qe-production-quality-engineer); classical model-accuracy metrics (use wicked-garden-qe-data-quality-tester); security bugs in the surrounding app (use wicked-garden-qe-security-test-engineer) — AI-specific attack surface stays here. Cross-ref: design-time agent-safety review is wicked-garden-agentic-safety-reviewer; THIS skill EXECUTES the probes with evidence.
pywayne-calibration-magnetometer-calibration
by wangyendt
Sensor calibration toolkit with magnetometer calibration using close-form method. Use when calibrating IMU sensors (accelerometer, gyroscope, magnetometer) to compute soft-iron matrix and hard-iron offset for magnetometer correction. Requires sensor fusion with VQF for orientation estimation.