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Found 552 Skills
Submits and manages FastFold protein folding jobs via the Jobs API. Covers authentication, creating jobs, polling for completion, and fetching CIF/PDB URLs, metrics, and viewer links. Use when folding protein sequences with FastFold, calling the FastFold API, or scripting fold-and-wait workflows.
Node.js backend patterns: framework selection, layered architecture, TypeScript, validation, error handling, security, production deployment. Use when building REST APIs, Express/Fastify servers, microservices, or server-side TypeScript.
Transforms vague or rough prompts into precise, structured AI instructions. Use when asked to "refine prompt", "improve prompt", "make this prompt better", "promptify", "optimize prompt", "rewrite prompt", "enhance prompt", or "sharpen instructions".
Enhanced reasoning patterns via slash commands (/think, /verify, /adversarial, /edge, /compare, /confidence, /budget, /constrain, /json, /flip, /assumptions, /tensions, /analyze, /trade) or natural language ("argue against", "what could break", "show reasoning", "deep review", "meta-prompts", "thinking modes", "second-best approach", "list assumptions", "opposing perspectives").
Prose editing, rewriting, and humanizing text for natural tone. Use when asked to "write", "rewrite", "edit", "humanize", "improve text", "fix the tone", "remove AI language", "proofread", or when writing copy, docs, blog posts, articles, emails, PR descriptions, or plans.
Systematic root-cause debugging: reproduce, investigate, hypothesize, fix with verification. Use when asked to "debug this", "fix this bug", "why is this failing", "troubleshoot", or mentions errors, stack traces, broken tests, flaky tests, regressions, or unexpected behavior.
Product discovery framework based on Teresa Torres' "Continuous Discovery Habits". Use when you need to: (1) build an opportunity solution tree from desired outcomes, (2) identify and prioritize customer opportunities, (3) design assumption tests for product ideas, (4) structure customer interview snapshots, (5) map assumptions to experiments, (6) move from output-driven to outcome-driven product development, (7) map current-state customer experiences, (8) build a weekly discovery habit.
Integrates Flowlines observability SDK into Python LLM applications. Use when adding Flowlines telemetry, instrumenting LLM providers, or setting up OpenTelemetry-based LLM monitoring.
This skill should be used when implementing code that requires SOLID principles and clean code practices. It provides detailed guidance on Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion principles with comparison examples in TypeScript.
Provides domain knowledge and guidance for the Flare Time Series Oracle (FTSO)—block-latency feeds, Scaling anchor feeds, feed IDs, onchain and offchain consumption, fee calculation, delegation, and smart contract integration. Use when working with FTSO, price feeds, oracle data, feed consumption, volatility incentives, or Flare Developer Hub FTSO guides and starter repos.
Fetch full email MIME content and attachment files from IMAP by message reference. Use when downstream steps already have a stage-1 mail_ref and need full headers/body/attachments for a specific message, with message_id_norm as the primary lookup key and uid only as fallback.
Text-to-speech (TTS) and speech-to-text (STT) via Together AI. TTS models include Orpheus, Kokoro, Cartesia Sonic, Rime, MiniMax with REST, streaming, and WebSocket support. STT models include Whisper and Voxtral. Use when users need voice synthesis, audio generation, speech recognition, transcription, TTS, STT, or real-time voice applications.