Discover
Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
upstash/context7 Use the ctx7 CLI to fetch library documentation, manage AI coding skills, and configure Context7 MCP. Activate when the user mentions "ctx7" or "context7", needs current docs for any library, wants to install/search/generate skills, or needs to set up Context7 for their AI coding agent. | Skills | |
upstash/context7 Fetch up-to-date documentation and code examples for any library, framework, SDK, CLI tool, or cloud service. Use whenever the user asks about a specific library — even well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot — because training data may not reflect recent API changes or version updates. Always use for: API syntax questions, configuration options, version migration issues, "how do I" questions mentioning a library name, debugging that involves library-specific behavior, setup instructions, and CLI tool usage. Use even when you think you know the answer. Do not rely on training data for API details, signatures, or configuration options — they are frequently out of date. Prefer this over web search for library documentation. | Skills | |
koala73/worldmonitor Retrieve climate-relevant disaster events, anomalies, and climate news. Use when the user asks about floods, cyclones, droughts, heatwaves, wildfires, or climate disruption. | Skills | |
thedaviddias/Front-End-Checklist Use when auditing metadata, crawlability, structured data, or indexability related to Display clear author bylines. Verify the rendered HTML and HTTP response rather than relying only on source files. | Skills | |
thedaviddias/Front-End-Checklist Use when reviewing rendered HTML, interactive components, or design-system patterns related to Do not use aria-hidden on the document body. Check native semantics first, then inspect keyboard behavior, focus flow, accessible names, and screen-reader output where relevant. | Skills | |
bytedance/deer-flow Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting". | Skills | |
nexu-io/open-design WeRead-inspired HyperFrames video template for vertical annual reading reports, personal reading dashboards, book-note recaps, and shareable year-in-review stories. Use when users want a 9:16 HTML-to-MP4 reading report with warm paper texture, editorial Chinese typography, book-page metaphors, data highlights, and deterministic motion. | Skills | |
deepgram/deepgram-go-sdk Use when writing or reviewing Go code in this repo that sends text to Deepgram Read via the analyze client. Route speech/audio inputs to deepgram-go-speech-to-text or deepgram-go-audio-intelligence, and management/admin work to deepgram-go-management-api. | Skills | |
nexu-io/open-design Official GSAP skill for gsap.utils — clamp, mapRange, normalize, interpolate, random, snap, toArray, wrap, pipe. Use when the user asks about gsap.utils, clamp, mapRange, random, snap, toArray, wrap, or helper utilities in GSAP. | Skills | |
nexu-io/open-design A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas at 60fps. Produced as a single self-contained `index.html`. Use when the brief asks for a "web worker", "simulation", "particle system", "physics", "off-main-thread", "fractal", "real-time compute", or "audio/data visualizer". OpenDesign serves this in powered-preview mode so Workers and SharedArrayBuffer actually work. | Skills | |
nexu-io/open-design 社媒矩阵数据追踪面板模板（Social Media Matrix Tracker）。 Use when users ask for a cinematic, data-dense social media analytics dashboard with multi-platform metrics, interactive charts, hover insights, range compare, and dark/light theme switching in a single HTML artifact. | Skills | |
nexu-io/open-design Open Orbit briefing skill — selected by the Orbit pipeline when Gmail is the user's only connected connector, or when the user explicitly scopes their daily digest to Gmail. Pulls the past 24 hours of inbox activity (replies awaited, mentions, cc, auto- categorized bulk) from the user's authenticated Gmail connection and renders the digest as the Orbit Daily Digest email opened inside Gmail's reading view. This skill should not be triggered manually — it is invoked by Orbit's daily-digest scheduler against live Gmail data. | Skills | |
nexu-io/open-design Team-management dashboard skill in the FlowAI aesthetic — three tabs (Team Members, Team Details, Activity Log), KPI stat row, member table, role distribution bar chart, online presence and activity sparklines, and a top-contributors panel, all in a single self-contained HTML file with light/dark theming, hoverable chart tooltips, click-to-zoom panels, and CSV export. Use when the brief asks for a team / workspace admin dashboard, an interactive admin dashboard with charts, or names FlowAI. | Skills | |
storybookjs/storybook Upgrade Storybook to a specific version (canary or release). Use this when upgrading Storybook packages in an external app, reproduction, or test project. | Skills | |
shanraisshan/claude-code-best-practice Display the current time in Pakistan Standard Time (PKT, UTC+5). Use when the user asks for the current time, Pakistan time, or PKT. | Skills | |
Builds a timezone, daylight saving time (DST), and leap year / leap second test matrix from wherever a codebase reads or formats dates and times. Finds time-handling code (grep for datetime / Date / Instant / time.time / timezone), sorts each spot into storage, business-logic, display, cron, or billing, picks the edge cases that matter (DST spring-forward / fall-back, ambiguous local time, leap day Feb 29, ISO 8601 / RFC 3339 round-trip, zone-database updates), and emits per-spot test stubs wired to the language's fake-clock (mock-time) library. Use when a codebase needs timezone, DST, and leap-year test coverage derived from its own date/time usage. Contains: timezone-test-matrix-builder Builds a timezone, daylight saving time (DST), and leap year / leap second test matrix from wherever a codebase reads or formats dates and times. Finds time-handling code (grep for datetime / Date / Instant / time.time / timezone), sorts each spot into storage, business-logic, display, cron, or billing, picks the edge cases that matter (DST spring-forward / fall-back, ambiguous local time, leap day Feb 29, ISO 8601 / RFC 3339 round-trip, zone-database updates), and emits per-spot test stubs wired to the language's fake-clock (mock-time) library. Use when a codebase needs timezone, DST, and leap-year test coverage derived from its own date/time usage. | Skills | |
v1.2.18 Wraps libfaketime (github.com/wolfcw/libfaketime), the LD_PRELOAD library that fakes the clock for any binary by intercepting time() / gettimeofday() / clock_gettime(). Covers absolute-date mode (FAKETIME='2026-12-31 23:59:00'), relative offset (FAKETIME='-1d'), advance-rate (FAKETIME='@2026-12-31 23:59:00 x5' for 5x speed), per-process scope via LD_PRELOAD, and FAKETIME_NO_CACHE for high-resolution mocking. Use when you need to fake time, mock the clock, or freeze time for C/C++ or any native binary that needs deterministic wall-clock time. Contains: libfaketime-c Wraps libfaketime (github.com/wolfcw/libfaketime), the LD_PRELOAD library that fakes the clock for any binary by intercepting time() / gettimeofday() / clock_gettime(). Covers absolute-date mode (FAKETIME='2026-12-31 23:59:00'), relative offset (FAKETIME='-1d'), advance-rate (FAKETIME='@2026-12-31 23:59:00 x5' for 5x speed), per-process scope via LD_PRELOAD, and FAKETIME_NO_CACHE for high-resolution mocking. Use when you need to fake time, mock the clock, or freeze time for C/C++ or any native binary that needs deterministic wall-clock time. | Skills | |
Builds a "what to test next" recommendation by combining a coverage report (LCOV / Cobertura / coverage.py JSON / Jest JSON / JaCoCo XML) with the PR's `git diff`, ranking uncovered branches by risk × cost - risk weighted by McCabe cyclomatic complexity and code-churn frequency, cost weighted by the unit-test pyramid layer (unit tests cheaper than integration than E2E). Also carries the coverage debt ledger: a weekly per-file drift report over N historical main runs flagging `falling` (line% slid >M pp from peak), `stale` (flat coverage + high churn), and `orphan` (lost last covering test) files, whose rows feed the same targeting. Emits a prioritized list with concrete file:line targets and the test layer recommended for each. Use when a team has the budget to write 5 - 10 new tests and needs help picking which uncovered code to target first instead of blindly chasing 100% coverage, or when specific modules are eroding silently while whole-repo coverage looks fine. Contains: test-coverage-targeter Builds a "what to test next" recommendation by combining a coverage report (LCOV / Cobertura / coverage.py JSON / Jest JSON / JaCoCo XML) with the PR's `git diff`, ranking uncovered branches by risk × cost - risk weighted by McCabe cyclomatic complexity and code-churn frequency, cost weighted by the unit-test pyramid layer (unit tests cheaper than integration than E2E). Also carries the coverage debt ledger: a weekly per-file drift report over N historical main runs flagging `falling` (line% slid >M pp from peak), `stale` (flat coverage + high churn), and `orphan` (lost last covering test) files, whose rows feed the same targeting. Emits a prioritized list with concrete file:line targets and the test layer recommended for each. Use when a team has the budget to write 5 - 10 new tests and needs help picking which uncovered code to target first instead of blindly chasing 100% coverage, or when specific modules are eroding silently while whole-repo coverage looks fine. | Skills | |
Tests Apache Solr search relevance by querying a test core, asserting ranking and score expectations, uploading LTR feature stores and models via the `/schema/feature-store` and `/schema/model-store` REST APIs, using `debugQuery` for per-document score explain, tuning eDisMax parameters (`qf`, `pf`, `mm`, `bq`), and computing judgment-driven nDCG checks against pinned corpora. Use when the search stack runs Apache Solr (enterprise, SolrCloud, or embedded) and you need a pre-deploy relevance gate or LTR model verification. Contains: solr-relevance-tests Tests Apache Solr search relevance by querying a test core, asserting ranking and score expectations, uploading LTR feature stores and models via the `/schema/feature-store` and `/schema/model-store` REST APIs, using `debugQuery` for per-document score explain, tuning eDisMax parameters (`qf`, `pf`, `mm`, `bq`), and computing judgment-driven nDCG checks against pinned corpora. Use when the search stack runs Apache Solr (enterprise, SolrCloud, or embedded) and you need a pre-deploy relevance gate or LTR model verification. | Skills | |
Bootstraps human-relevance judgment lists (query sets, grading scales, rater guidelines, inter-rater agreement, Quepid tooling, TREC-style pooling, and refresh cadence) that serve as ground truth for search-relevance test suites. Use when a team needs to create or refresh the judgment corpus before running NDCG / MRR / Recall@k evaluations. Contains: judgment-list-author Bootstraps human-relevance judgment lists (query sets, grading scales, rater guidelines, inter-rater agreement, Quepid tooling, TREC-style pooling, and refresh cadence) that serve as ground truth for search-relevance test suites. Use when a team needs to create or refresh the judgment corpus before running NDCG / MRR / Recall@k evaluations. | Skills |
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