Shape agent capabilities into your workflow.

ignition-skills provides two Claude skill sets for Ignition 8.1 and SepaSoft Batch Procedure. They emphasize source-backed conceptual grounding, mark unsupported facts as pending, and direct users to verify relevant details in the Designer GUI. The project intentionally excludes troubleshooting content, signature and option lists, how-to material, and customer-specific frameworks; it is maintained and installed by copying the two folders to a user-level skill directory.

The DEPEG skill explains how to derive public PDAs, decode on-chain account layouts, and build user-facing instructions for swapping USDC and stablecoins, staking, claiming rewards, unstaking, and buying boosters. It also covers permissionless keeper instructions, pool initialization with an admin co-signature, and parsing the protocol’s decimal-formatted logs. The guide pairs with the `@depegprotocol/sdk` TypeScript package.

claude-skill-news-ticker renders news tickers, lower-thirds, and subtitle overlays from HTML and CSS, then encodes them as transparent ProRes 4444 MOV files for CapCut, Premiere, or DaVinci. It supports custom brand colors and fonts, automatic duration calculation, five palettes, and optional alpha-capable video formats. Playwright handles browser rendering and ffmpeg handles encoding.

notebooklm-research wraps NotebookLM with a four-stage handoff: choose a research variant and scale, create a search outline, apply citation and fact/opinion/inference rules, then verify the finished report. It checks decision-grade numbers, time markers, named entities, and recurring anomalies, while preserving a human-in-the-loop exchange between the agent and NotebookLM. The repository includes installers for native skill hosts and pointer-based setup for rules-driven agents.

This skill evaluates AI pilots, vendor proposals, and investment theses through five perspectives: investigator, devil’s advocate, long-term strategist, realist, and senior advisor. It tests the problem, operating mode, durability, data and integration readiness, then returns a verdict such as Fund-with-condition, Reframe, or Kill plus one concrete action.

This skill runs a deliberately short Socratic conversation: an opener, exactly three substantive exchanges, and a hard ending with no follow-up prompt. It saves the full dialogue as a timestamped Markdown file, asks once for the speaker label and destination folder, and aims for concrete inquiry rather than debate or tidy conclusions.

This skill guides Mollie integrations for iDEAL, card payments through Mollie Components, hosted checkout for other methods, webhook handling, and a custom Medusa v2 provider. It focuses on integration-specific pitfalls such as profileId validation, iframe styling, amount formatting, return-URL polling, provider ID composition, and seed or region wiring.

This skill transcribes spoken video with Whisper word timestamps, groups words into 2–5-word chunks around punctuation and pauses, and burns styled captions with ffmpeg. You can choose fonts, colors, brand plates, aspect-ratio presets, languages, and a glossary; it requires a Whisper package and ffmpeg.

This skill converts a request to explain a repository, pull request, feature, or diff into a locally served reveal.js deck. It plans 5–15 stops with highlighted code, clickable file-and-line links, Mermaid architecture or flow diagrams, optional speaker notes, and nested drill-down slides; a Python HTTP server and modern browser are required.

This skill routes image briefs between OpenAI GPT-Image-2 and Google Gemini Nano Banana, with presets for concepts, high-resolution output, web and social assets, references, edits, sessions, image analysis, and saved style fingerprints. It works from Claude or a standalone Python script, but requires both provider credentials and careful protection of generated bundles or key-bearing files.

This skill calculates sPEG = forward P/E ÷ (growth × Scarcity Multiplier), using five factors to examine irreplaceability, replication time, supply concentration, throughput control, and downstream dependency. It helps analysts interpret sPEG bands; the included Micron example is personal analysis, not investment, tax, legal, or accounting advice.

This skill enriches frontend conversations with relevant MDN documentation for CSS, JavaScript, DOM, HTML, HTTP, SVG, accessibility, and related web-platform features. It can find, render, search, browse, and refresh a local slug index, but it does not provide live compatibility tables or interactive examples, and it does not cover Node, Deno, or Bun runtime APIs.

This skill targets Chinese-language proposals, using python-pptx, template cloning, editable native charts, CJK font rules, asset tracking, layout repair, and structural plus visual QA. Content, visuals, and design can progress in parallel, but four checkpoints require user confirmation before assembly and delivery; Python 3.10+ and the listed packages are required.

This skill reviews one index.html for factual accuracy, clarity, professional prose, and structural quality against its referenced patterns. It returns severity-ranked findings and walks through them one at a time, applying only approved edits back to index.html; it is a post-authoring QA pass rather than a live writing linter.

This Claude plugin activates a SEBI Algo Trading 2026 skill when conversations involve Indian algorithmic trading, broker APIs, strategy classification, or related compliance topics. It can be installed through Claude Desktop’s marketplace or Claude Code’s plugin commands, making it a focused entry point for regulated-market discussions.

The AAQ skill scores an organization from 0 to 100 across machine learning and analytics, generative AI adoption, and agentic AI readiness, with adjustable weights and five maturity tiers. It is designed for structured benchmarking from public information, so results help frame diligence but cannot reveal capabilities that a company does not disclose.

This Claude Code skill orchestrates a new project through guarded phases from preflight and requirements through GitHub reconnaissance, tool or skill selection, definition documents, ticket breakdown, second-opinion review, and phase-based implementation. It is intended for empty or brand-new project directories; feature work, bug fixes, refactors, and code reviews should use other workflows.

This skill turns Claude Code into a learning-first assistant for coursework, labs, competitions, theses, and self-study. It explains principles before implementation, adapts to the scenario, records progress and takeaways, and encourages clear naming and simple designs instead of handing over unexplained answers.