525 boosters for "spec" — open source, verified from GitHub, ready to install
Twitter Engager is an AI specialist that helps brands build thought leadership and authentic community engagement through real-time conversation participation and viral thread creation. It's useful for marketing teams and content creators seeking to amplify their Twitter presence strategically.
A developer advocate agent that helps teams build engaged developer communities, create technical content, and optimize developer experience through authentic engineering engagement. Best suited for product managers, DevRel teams, and engineering leads looking to improve platform adoption and developer satisfaction.
An AI/ML engineering expert agent that helps developers build, deploy, and integrate machine learning models into production systems with scalable, practical solutions. Ideal for engineers building intelligent features and data pipelines.
Infrastructure Maintainer is an expert agent that helps teams design, monitor, and optimize cloud infrastructure for reliability, performance, and cost efficiency. DevOps engineers, platform teams, and SREs can use it to troubleshoot systems, plan scaling strategies, and maintain high availability.
Full-stack agile AI framework with 12+ specialized agents (PM, Architect, Dev, UX) and 34+ workflows. Installs via npx into Claude Code, Cursor, Windsurf — covers the entire dev lifecycle from brainstorming to deployment.
 A comprehensive production-ready system combining 112 specialized AI agents, 16 multi-agent workflow orchestrators, 146 agent skills, and 79 development tools organized into 72 focused, single-purpose plugins
Matchms enables mass spectrometry data processing and analysis with support for multiple file formats, spectral similarity calculations, and metadata harmonization. This booster is essential for metabolomics researchers, bioinformaticians, and data scientists working with MS/MS datasets.
Shape the user's intent into an objective an agent can pursue honestly. Prefer measurable outcomes, explicit evidence, and bounded scope over activity descriptions. This skill covers goal definition and goal-tool creation only. Do not create intermediate planning artifacts, durable snapshots, ledger
Automates translation of Figma designs into production-ready code with pixel-perfect visual accuracy using the Figma MCP workflow. Ideal for developers and designers who need to implement designs quickly while maintaining design fidelity.
Provides language-specific security best-practice reviews and improvement suggestions for Python, JavaScript/TypeScript, and Go code. Developers building secure applications benefit from automated security guidance tailored to their framework and language.
A meta-guide that helps users create or update specialized skills to extend Codex's capabilities with domain-specific knowledge and workflows. Developers and AI agents building custom extensions benefit from this structured approach to skill development.
Use MCP to execute JavaScript in Figma files via the Plugin API. All detailed reference docs live in . Before anything, load plugin-api-standalone.index.md to understand what is possible. When you are asked to write plugin API code, use this context to grep plugin-api-standalone.d.ts for relevant t
This skill helps you generate custom design system rules tailored to your project's specific needs. These rules guide AI coding agents to produce consistent, high-quality code when implementing Figma designs, ensuring that your team's conventions, component patterns, and architectural decisions are
Debugs and fixes failing GitHub Actions PR checks by inspecting logs and proposing solutions with explicit approval gates. Developers using GitHub Actions in CI/CD pipelines benefit from faster troubleshooting and fixes.
This booster enables OS-level desktop and window screenshot capture when users explicitly request it or when tool-specific capabilities are unavailable. Developers and AI assistants benefit from having a fallback capture mechanism for debugging, documentation, and UI inspection tasks.
Create a real CLI that future Codex threads can run by command name from any working directory. This skill is for durable tools, not one-off scripts. If a short script in the current repo solves the task, write the script there instead. Name the target tool, its source, and the first real jobs it sh
Converts Notion product specs and PRDs into structured implementation plans, tasks, and progress tracking within Notion. Ideal for product managers and engineers who need to translate specifications into actionable work items.
Create a Codex-compatible animated pet from a concept, brand cue, company/prospect name, one or more reference images, or any combination of those inputs. This workflow keeps the deterministic hatch-pet pipeline for atlas geometry, validation, visual QA, and packaging, while using concise state-spec
Sentry booster enables developers to inspect production errors, summarize recent issues, and pull health data from Sentry via read-only API queries. Ideal for on-call engineers and DevOps teams needing quick observability access without leaving their coding environment.
<a href="https://github.com/VoltAgent/voltagent"> <img width="1500" height="500" alt="Group 32" src="https://github.com/user-attachments/assets/55b97c47-8506-4be0-b18f-f5384d063cbb" /> <div align="center">
A diagnostic skill for debugging WhatsApp message delivery, webhook issues, and API errors in the Kapso platform. Essential for DevOps engineers and backend developers managing WhatsApp integrations in production.
Use when the user wants recent, cross-source evidence from the last 30 days. The runtime is a single v3 pipeline: 3. normalize and dedupe
This booster equips AI coding assistants with specialized guidance for reading, creating, and editing Word documents programmatically while maintaining formatting and layout fidelity. Developers working with `.docx` files—especially those requiring professional formatting, tables, or visual validation—will find this booster invaluable.
A skill for iteratively developing and testing web-based games in HTML/JavaScript using Playwright automation and screenshot inspection. Developers building browser games benefit from this structured test-driven development loop.
