Find the open-source solution that fits.

SPRUCE SQL Advisor grounds Claude in AWS Cost and Usage Report 2.0 schemas and the green-operations columns added by SPRUCE. It covers nested arrays, BILLING_PERIOD partition semantics, Athena and DuckDB syntax differences, and the meaning and units of carbon, electricity, and water fields. The skill is aimed at FinOps and GreenOps queries against this specific data shape, rather than general-purpose SQL assistance.

production-ready asks what quality means for the current project, combining baseline rules such as secret-free code, boundary validation, specific error handling, no leftover placeholders, and focused functions with custom requirements for tests, auth, database, logging, CI, or rate limits. It applies those standards as Claude writes and explains any proposed shortcut instead of silently weakening the result. A separate check command reviews existing code against the saved standards.

apca-contrast-skill bundles a deterministic Python implementation of APCA-W3 that measures Lc for text and background pairs, looks up passing font sizes and weights, audits Tailwind v4 light and dark tokens, and reverse-solves a color for a target Lc. It accepts common CSS color notations and needs no third-party Python package. APCA is still a WCAG 3 draft model, so legal accessibility work also needs a WCAG 2.x ratio check; alpha, wide-gamut displays, typography, and vision conditions need additional judgment.

Chiron accepts repositories, PDFs, vocabulary CSVs, and research papers, then produces a self-contained interactive lesson HTML. It supports separate learning paths for code, medicine, and language, using a five-stage ingest, generate, validate, build, and assemble pipeline with structured-output retries. Each lesson has its own SQLite state, while the parent Claude Code agent handles the text-LLM steps.

lets.skill distills public posts, interviews, and livestream material about the Chinese internet phenomenon known as Wanxue into response and expression frameworks. It offers role-play, researcher-oriented event analysis, trap-question detection, and a separate language-literature branch. The project states that it is not authorized or endorsed by the person represented, uses material current through 2025, and treats undisclosed topics as framework-based inference rather than a real private reaction.

docker-wsl-cleanup reports the Docker virtual disk and `docker system df`, guides a confirmed prune, stops Docker Desktop cleanly, shuts down WSL, and prints the appropriate VHDX compaction command for Windows Pro, Enterprise, or Home. It restarts Docker and reports the reclaimed space after the user completes the administrative step. The skill requires Windows 10 or 11 with Docker Desktop using WSL2 and an administrator PowerShell; it never self-elevates or force-kills Docker.

cc-provider-add configures MiMo, GLM, Kimi, Bedrock, or another Anthropic-compatible endpoint for Claude Code using a separate `CLAUDE_CONFIG_DIR` per provider. It creates protected secret files, model settings, onboarding metadata, a launcher, and a shell alias, so multiple providers can run in separate terminals without changing `~/.claude/settings.json`. The skill verifies the connection with a real API ping. It is designed for terminal users of Claude Code, and trusting a third-party endpoint means sending prompts to that provider.

blpapi-expert helps Claude write Bloomberg Desktop API code for reference, bulk, historical, intraday, subscription, derivatives, override, and error-handling workflows. It consults bundled request schemas and canonical examples instead of guessing field shapes, while keeping xbbg version differences visible. The scope is local Desktop API sessions attached to a Bloomberg Terminal; B-PIPE, Server API, Platform, EMSX, and Excel COM are excluded. Running the generated code requires a logged-in Terminal plus Bloomberg's SDK and xbbg.

best-aeo-skill audits a URL with 33 local evidence collectors, scores technical accessibility, content citability, structured data, and entity signals, and reports how the site may be cited by ChatGPT, Claude, Perplexity, Gemini, and other answer engines. Its fix commands can draft `llms.txt`, robots rules, JSON-LD, and content changes as a reviewable diff, while monitor mode tracks score regressions. The tool runs without an external API and does not push changes without confirmation.

cera-reasoning-harness places an AI project's goals and instructions beside the chat, links them to each message, and saves the project locally so a later session can resume. It keeps a history of the interaction and its decisions; the project states that saved files are local and encrypted. The app targets Windows 10 or 11 and needs network access plus an AI service connection, so verify those privacy claims in the implementation before using it for sensitive work.

Timeln's skills combine six memory-recall actions with a human-gated consulting workflow. Thinking-OS retrieves decisions, failures, shipped artifacts, and call material through Timeln MCP, while Consulting-OS moves from framing and solution options through gates, acceptance, commercial terms, packaging, integrity checks, red-team review, and pursuit. The skills require a Timeln account and MCP token for hosted memory, and they state that every answer cites a source or plainly reports no record; the podcast tool can use a local TTS engine.

qa403-ubuntu-install-claude-skill provides a repeatable script, install guide, and Claude Code walkthrough for running QuantAsylum's QA40x Windows audio-analyzer software on Ubuntu with Mono. It covers dependencies, udev and libusb rules, Wine extraction, rendering workarounds, and QA403 connection troubleshooting, with tested paths for Ubuntu 20.04 and 24.04. The scope includes QA402/QA403 hardware and excludes macOS, the QA40x V2 branch, and ALSA playback setup.

Dorian reviews a codebase across ten technical-debt categories, assigns severity tiers, and returns prioritized findings with path-and-line evidence. It then maps those findings one-to-one onto a single character that falls from guardian to gothic horror, producing a model-agnostic image prompt. Paths, names, secrets, and internal URLs are scrubbed before the prompt is shown.

font-matchmaker profiles a project through its domain, audience, stack, brand, and communication style, then evaluates five typography axes before recommending a font system. The result can cover headings, body text, and code, with alternatives for different trade-offs and a rationale tied to concrete type characteristics. It is aimed at developers who want a reasoned choice instead of a default font.

claude-code-qc compresses the staging, commit, and push sequence into the /qc command while matching the repository's existing commit style. It stages named files, keeps hooks and GPG signing enabled, and refuses amend, no-verify, blind add-all, force-push, and AI attribution patterns. The first run may need to bootstrap GitHub CLI authentication through a browser.

This migration skill parses .twb or .twbx workbooks and maps their data sources, calculations, parameters, filters, worksheets, and dashboard zones into dbt models and Lightdash YAML. It emits model, chart, dashboard, and migration-report files, while surfacing unsupported features before validation with Lightdash lint and chart smoke tests. It is for workbook migration, not for authoring new Lightdash content, administering Tableau Server, or handling Tableau Prep .tflx/.twfl flows.

qa-defect-report-writer converts anything from a one-line bug note to a wall of logs into a consistent defect report with reproduction steps, expected and actual results, severity, and priority. It separates multiple bugs and labels inferred or assumed fields so missing facts are visible instead of silently filled in. The Markdown output is formatted for issue trackers such as Confluence, Notion, GitHub, and Jira.

Schema Detector fetches a single URL, extracts JSON-LD, Microdata, and RDFa, infers the page type, and runs twelve schema checks plus malformed-JSON detection. It returns deterministic JSON with findings ranked from P0 to P3 and maps each issue to one of Ygramul's seven SEO levers. The skill is deliberately single-page and does not edit schema or execute client-side JavaScript.