Discover documentation to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
Generates markdown API documentation from JSDoc-annotated source code with comprehensive customization options | Docs | 97 1.36x Agent success vs baseline Impact 97% 1.36xAverage score across 10 eval scenarios Reviewed: Version: 9.1.0 |
A curated list of browser globals that commonly cause confusion and are not recommended to use without an explicit window qualifier | Docs | 97 1.10x Agent success vs baseline Impact 97% 1.10xAverage score across 10 eval scenarios Reviewed: Version: 1.0.0 |
tessl/npm-azure--core-auth v1.10.0 Provides low-level interfaces and helper methods for authentication in Azure SDK | Docs | 97 1.11x Agent success vs baseline Impact 97% 1.11xAverage score across 10 eval scenarios Reviewed: Version: 1.10.0 |
Spec-driven workflow covering requirement gathering, spec authoring, implementation review, and verification — with skills, rules, and evaluation scenarios. Contains: requirement-gathering Interview stakeholders to clarify ambiguous or underspecified requirements before writing code. Use when receiving a new task, feature request, or bug report that lacks clear acceptance criteria. Produces clarified requirements ready for spec authoring. Common triggers: "new feature", "build me", "implement", "add support for", or any task where requirements are vague or incomplete. spec-verification Verify that implementation and tests remain synchronized with specs after code changes. Use when code has been generated or modified from specs, after implementation is complete, or when reviewing a PR that touches spec-covered code. Reports mismatched targets, broken test links, and undocumented behavioral changes. Common triggers: "verify the spec", "check spec alignment", "are specs up to date", or after completing implementation work. spec-writer Create or update .spec.md files from clarified requirements. Use when requirements have been gathered and confirmed, and specs need to be written or updated before implementation begins. Produces well-structured spec files with frontmatter, requirements, and test links. Common triggers: "write the spec", "update the spec", "create a spec for", or after requirement-gathering completes. work-review Review completed implementation against approved specs to ensure all requirements are satisfied. Use after finishing implementation work, before marking a task as done, or when a stakeholder asks to verify deliverables against requirements. Produces a review summary with pass/fail per requirement. Common triggers: "review my work", "check against spec", "did I miss anything", "is implementation complete". | SkillsDocsRules | 96 1.19x Agent success vs baseline Impact 98% 1.19xAverage score across 9 eval scenarios Securityby Passed No known issues Reviewed: Version: 2.0.1 |
Calibrate research done on socially noisy web sources so agents do not mistake crowd mood for truth. Includes source-specific skills for Moltbook, Hacker News, Reddit, and Product Hunt. Contains: hacker-news-source-calibration Calibrate research done on Hacker News so agents do not mistake experienced technical cynicism, anti-hype sentiment, or comment-thread confidence for balanced evidence. Use when summarizing Hacker News reactions, extracting concerns from HN threads, citing HN as part of research, or deciding how much weight to give repeated negative or skeptical Hacker News comments. moltbook-source-calibration Interpret and calibrate already-collected research material derived from Moltbook so agents do not mistake noise, spam, novelty, or social heat for reliable evidence. Use when weighing notes, summaries, or quoted material from Moltbook as part of research, deciding whether a Moltbook claim is worth following up, or separating concrete weak signals from social-performance noise. Prefer when Moltbook is being used as a weak-signal discovery source rather than as authoritative proof. This is an informational calibration skill, not a browsing or execution workflow. product-hunt-source-calibration Interpret and calibrate already-collected research material derived from Product Hunt so agents do not mistake launch-day momentum, supportive comments, or leaderboard position for durable product quality or market truth. Use when weighing notes, summaries, reviews, rankings, or quoted material from Product Hunt as part of research, or when deciding how much weight to give Product Hunt launch traction, comments, and maker feedback. This is an informational calibration skill, not a browsing or execution workflow. reddit-source-calibration Calibrate research done on Reddit so agents do not mistake subreddit culture, anecdotal intensity, or comment popularity for reliable evidence. Use when summarizing Reddit threads, extracting recurring user pain from Reddit discussions, citing Reddit as part of research, or deciding how much weight to give repeated subreddit sentiment. | SkillsDocs | 96 Impact Pending Average score across 0 eval scenarios Securityby Passed No known issues Reviewed: Version: 0.1.4 |
A lightweight polyfill for Temporal, successor to the JavaScript Date object | Docs | 96 1.18x Agent success vs baseline Impact 96% 1.18xAverage score across 10 eval scenarios Reviewed: Version: 0.3.0 |
tessl/pypi-questionary v2.1.0 Python library to build pretty command line user prompts with interactive forms and validation | Docs | 96 1.00x No change in agent success vs baseline Impact 96% 1.00xAverage score across 10 eval scenarios Reviewed: Version: 2.1.0 |
tessl/pypi-pymisp v2.5.0 Python API for MISP threat intelligence platform enabling programmatic access to MISP instances. | Docs | 96 1.24x Agent success vs baseline Impact 96% 1.24xAverage score across 10 eval scenarios Reviewed: Version: 2.5.0 |
tessl/pypi-invoke v2.2.0 Pythonic task execution library for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks | Docs | 96 1.24x Agent success vs baseline Impact 96% 1.24xAverage score across 10 eval scenarios Reviewed: Version: 2.2.0 |
A React tooltip component from Radix UI Primitives, part of an open-source UI component library for building high-quality, accessible design systems and web apps | Docs | 96 1.05x Agent success vs baseline Impact 96% 1.05xAverage score across 10 eval scenarios Reviewed: Version: 1.2.0 |
tessl/npm-nuqs v1.20.0 Type-safe search params state manager for Next.js - Like React.useState, but stored in the URL query string | Docs | 96 1.24x Agent success vs baseline Impact 96% 1.24xAverage score across 10 eval scenarios Reviewed: Version: 1.20.0 |
tessl/npm-metro-memory-fs v0.82.0 A memory-based implementation of Node.js fs module for testing purposes | Docs | 96 1.26x Agent success vs baseline Impact 96% 1.26xAverage score across 10 eval scenarios Reviewed: Version: 0.82.0 |
tessl/npm-lodash-sum v4.0.0 The lodash method sum exported as a module for computing the sum of values in an array. | Docs | 96 1.20x Agent success vs baseline Impact 96% 1.20xAverage score across 10 eval scenarios Reviewed: Version: 4.0.0 |
tessl/npm-gradio--client v1.17.0 JavaScript and TypeScript client library for interacting with Gradio APIs, providing methods to connect to, submit predictions to, and manage connections with Gradio applications. | Docs | 96 1.11x Agent success vs baseline Impact 96% 1.11xAverage score across 10 eval scenarios Reviewed: Version: 1.17.0 |
tessl/npm-gl v8.1.0 Creates a WebGL context without a window for headless rendering and server-side graphics | Docs | 96 1.10x Agent success vs baseline Impact 96% 1.10xAverage score across 10 eval scenarios Reviewed: Version: 8.1.0 |
Express middleware for IP-based rate limiting with flexible configuration options and multiple storage backends | Docs | 96 1.20x Agent success vs baseline Impact 96% 1.20xAverage score across 10 eval scenarios Reviewed: Version: 8.1.0 |
tessl/npm-deep-eql v5.0.0 Improved deep equality testing for Node.js and the browser with support for complex types and circular references. | Docs | 96 0.96x Agent success vs baseline Impact 96% 0.96xAverage score across 10 eval scenarios Reviewed: Version: 5.0.0 |
Babel plugin that automatically adds displayName properties to React class components created with createClass | Docs | 96 1.09x Agent success vs baseline Impact 96% 1.09xAverage score across 6 eval scenarios Reviewed: Version: 6.25.0 |
tessl/pypi-pytest-redis v3.1.0 Redis fixtures and fixture factories for Pytest. | Docs | 95 1.11x Agent success vs baseline Impact 95% 1.11xAverage score across 10 eval scenarios Reviewed: Version: 3.1.0 |
tessl/npm-workerpool v9.3.0 Offload tasks to a pool of workers on node.js and in the browser | Docs | 95 1.23x Agent success vs baseline Impact 95% 1.23xAverage score across 10 eval scenarios Reviewed: Version: 9.3.0 |
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