Discover docs
Discover documentation to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
Angular Build Architect builder for ng-packagr library packaging (deprecated) | Docs | 89 1.00x No change in agent success vs baseline Impact 89% 1.00xAverage score across 10 eval scenarios Reviewed: Version: 0.1002.0 |
tessl/pypi-web3 v7.13.0 A Python library for interacting with Ethereum blockchain | Docs | 88 1.01x Agent success vs baseline Impact 88% 1.01xAverage score across 10 eval scenarios Reviewed: Version: 7.13.0 |
tessl/pypi-us v3.2.0 A package for easily working with US and state metadata | Docs | 88 1.23x Agent success vs baseline Impact 88% 1.23xAverage score across 10 eval scenarios Reviewed: Version: 3.2.0 |
Python compatibility wrapper for computing string edit distances and similarities using fast Levenshtein algorithms. | Docs | 88 1.37x Agent success vs baseline Impact 88% 1.37xAverage score across 10 eval scenarios Reviewed: Version: 0.27.0 |
tessl/pypi-comtypes v1.4.0 Pure Python COM package for Windows COM automation and interoperability | Docs | 88 0.98x Agent success vs baseline Impact 88% 0.98xAverage score across 10 eval scenarios Reviewed: Version: 1.4.0 |
tessl/pypi-fiona v1.10.0 Fiona reads and writes spatial data files | Docs | 88 1.09x Agent success vs baseline Impact 88% 1.09xAverage score across 10 eval scenarios Reviewed: Version: 1.10.0 |
Link extension for tiptap rich text editor providing automatic link detection, paste handling, click behavior, and XSS protection. | Docs | 88 1.23x Agent success vs baseline Impact 88% 1.23xAverage score across 10 eval scenarios Reviewed: Version: 3.4.0 |
tessl/npm-shebang-regex v4.0.0 Regular expression for matching Unix shebang lines at the beginning of files | Docs | 88 1.54x Agent success vs baseline Impact 88% 1.54xAverage score across 9 eval scenarios Reviewed: Version: 4.0.0 |
tessl/npm-plist v3.1.0 Apple's property list parser/builder for Node.js and browsers | Docs | 88 0.97x Agent success vs baseline Impact 88% 0.97xAverage score across 10 eval scenarios Reviewed: Version: 3.1.0 |
tessl/npm-openapi-types v12.1.0 TypeScript type definitions for OpenAPI documents across all specification versions. | Docs | 88 1.20x Agent success vs baseline Impact 88% 1.20xAverage score across 10 eval scenarios Reviewed: Version: 12.1.0 |
Babel plugin that compiles ES2015 computed properties to ES5-compatible code | Docs | 88 1.07x Agent success vs baseline Impact 88% 1.07xAverage score across 10 eval scenarios Reviewed: Version: 6.24.0 |
Evidence-first pull request review with independent critique, selective challenger review, and human handoff. Contains: challenger-review Stress-test the primary review with an additional independent reviewer that generates its own findings, compares reviewer conclusions, and identifies issues the primary reviewer may have missed. Use when performing a second opinion or double-check review on a pull request, for medium or high risk PRs, when authoring was heavily AI-assisted, when primary reviewer confidence is low, when findings conflict, or when you need to verify findings with a cross-model or same-model challenger. Supports same-model and cross-model configurations for fair comparison. finding-synthesizer Turn many candidate findings from reviewers and verifiers into a small, decision-useful set. Deduplicates, ranks, and suppresses weak findings to consolidate review results into a prioritized, actionable list with severity ratings and merged confidence scores. Use when you need to merge findings, consolidate feedback, prioritize issues, or summarize review output after review passes are complete and before human handoff. Trigger phrases: "consolidate review results", "merge findings", "deduplicate feedback", "prioritize issues from review", "summarize reviewer output". The evidence threshold is the filter — not an arbitrary cap. fresh-eyes-review Provide an independent critique of a pull request (PR) using a clean reviewer context, identifying bugs, security issues, code quality problems, API misuse, and missing test coverage. Use when performing a code review or pull request review after an evidence pack has been built, for green or yellow risk lane PRs, or as part of a full pipeline for red risk lane PRs. Produces candidate findings (covering correctness, security, and architectural concerns) for downstream synthesis — not final verdicts. Operates as a critic, not a co-author. Common triggers: "review this PR", "code review feedback", "fresh review", "independent review". human-review-handoff Generates a structured, human-readable reviewer packet summarising what changed in a pull request, why it matters, what was verified, and where human attention is most needed. Use when the user asks for a PR review summary, a code review packet, a human-readable change report, or wants to hand off review findings to a human reviewer. Produces a scannable document: quick approvals (low-risk PRs) can be assessed in under 30 seconds; detailed reviews (high-risk PRs) in under 2 minutes. Outputs a formatted markdown packet with risk rating, verification status, ranked findings, unresolved questions, and a recommended review focus — making human review faster without replacing human judgment. pr-evidence-builder Build a compact, trustworthy evidence pack before deeper PR review starts. Use this skill when a pull request needs review — it is always the first step. Triggered by requests to review code, check a PR, review my changes, review a merge request, or any similar code review or pull request review request. Collects PR context, runs deterministic verifiers, classifies risk, maps hotspots, and checks for missing artifacts. Produces the evidence pack that all downstream review skills consume. review-retrospective Evaluates which code review comments (review tiles) actually produced changes after a pull request is merged or closed, by passively collecting outcome data from the GitHub API and git history — zero developer friction. Use when analyzing post-merge pull request outcomes, assessing code review effectiveness, measuring review feedback impact, or answering questions like "how did PR #6 go?", "which review comments were accepted?", or "did any escaped defects appear after this pull request merged?" Produces a structured per-finding outcome record (accepted / rejected / ignored / superseded), merge time delta, escaped defect count, and AI authorship correlation for each PR. | SkillsDocsRules | 87 1.31x Agent success vs baseline Impact 87% 1.31xAverage score across 43 eval scenarios Securityby  Risky Do not use without reviewing Reviewed: Version: 0.1.2 |
Gemini CLI Core - Core functionality library for the open-source AI agent that brings the power of Gemini directly into your terminal. | Docs | 87 1.01x Agent success vs baseline Impact 87% 1.01xAverage score across 10 eval scenarios Reviewed: Version: 0.5.0 |
tessl/pypi-spreg v1.8.0 Spatial econometric regression models for analyzing geographically-related data interactions. | Docs | 87 0.94x Agent success vs baseline Impact 87% 0.94xAverage score across 10 eval scenarios Reviewed: Version: 1.8.0 |
tessl/pypi-scikit-learn v1.7.0 A comprehensive machine learning library providing supervised and unsupervised learning algorithms with consistent APIs and extensive tools for data preprocessing, model evaluation, and deployment. | Docs | 87 0.98x Agent success vs baseline Impact 87% 0.98xAverage score across 10 eval scenarios Reviewed: Version: 1.7.0 |
tessl/pypi-aiortc v1.13.0 Python implementation of WebRTC and ORTC for real-time peer-to-peer communication | Docs | 87 1.02x Agent success vs baseline Impact 87% 1.02xAverage score across 10 eval scenarios Reviewed: Version: 1.13.0 |
Comprehensive validation library for Vue.js applications providing common validators with built-in error messages and customization options | Docs | 87 1.14x Agent success vs baseline Impact 87% 1.14xAverage score across 10 eval scenarios Reviewed: Version: 2.0.0 |
A CSS Modules transform to extract local aliases for inline imports | Docs | 87 1.17x Agent success vs baseline Impact 87% 1.17xAverage score across 10 eval scenarios Reviewed: Version: 3.1.0 |
Official Vue component for Font Awesome 7 | Docs | 87 1.15x Agent success vs baseline Impact 87% 1.15xAverage score across 10 eval scenarios Reviewed: Version: 3.1.0 |
A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively. Contains: creating-mermaid-dbt-dag Generates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks. Use when visualizing dbt model lineage and dependencies as a Mermaid diagram in markdown format. migrating-dbt-core-to-fusion Classifies dbt-core to Fusion migration errors into actionable categories (auto-fixable, guided fixes, needs input, blocked). Use when a user needs help triaging migration errors to understand what they can fix vs what requires Fusion engine updates. migrating-dbt-project-across-platforms Use when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences. adding-dbt-unit-test Creates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt. answering-natural-language-questions-with-dbt Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development. building-dbt-semantic-layer Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs. configuring-dbt-mcp-server Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when setting up, configuring, or troubleshooting the dbt MCP server for AI tools like Claude Desktop, Claude Code, Cursor, or VS Code. fetching-dbt-docs Retrieves and searches dbt documentation pages in LLM-friendly markdown format. Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer. running-dbt-commands Formats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters. Use when running models, tests, builds, compiles, or show queries via dbt CLI. Use when unsure which dbt executable to use or how to format command parameters. troubleshooting-dbt-job-errors Diagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data issues. Use when a dbt Cloud/platform job fails and you need to diagnose the root cause, especially when error messages are unclear or when intermittent failures occur. Do not use for local dbt development errors. using-dbt-for-analytics-engineering Builds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes. working-with-dbt-mesh Implements dbt Mesh governance features (model contracts, access modifiers, groups, versioning) and multi-project collaboration with cross-project refs. Use when implementing dbt Mesh governance, setting up cross-project refs with dependencies.yml, disambiguating similarly-named models across projects, or splitting a monolithic dbt project into multiple mesh projects. | SkillsDocs | 86 Impact Pending Average score across 0 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: 1.2.0 |
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