Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
deepgram/dglabs-deepclaw Create, search, and manage Bear notes via grizzly CLI. | Skills | |
qsimeon/openclaw-engaging Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery. | Skills | |
qsimeon/openclaw-engaging Create, search, and manage Bear notes via grizzly CLI. | Skills | |
attilaczudor/Test Create, search, and manage Bear notes via grizzly CLI. | Skills | |
Bitterbot-AI/bitterbot-desktop Control Sonos speakers (discover/status/play/volume/group). | Skills | |
inkeep/open-knowledge How to work in a Plain Notes project (the `plain-notes` starter pack): a flat notes/ folder plus a daily/ journal. The 'I just want to write' layout. Read when the project has these folders, OR when asked to jot a note, capture a quick thought, or write today's journal entry. Carries the linking habit and daily-entry behavior so templates and folder descriptions stay minimal. Complements the platform `open-knowledge` skill; does not replace it. | Skills | |
greensock/gsap-skills Official GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration. | Skills | |
greensock/gsap-skills Official GSAP skill for Vue, Svelte, and other non-React frameworks — lifecycle, scoping selectors, cleanup on unmount. Use when the user wants animation in Vue, Nuxt, Svelte, SvelteKit, or asks about GSAP with Vue/Svelte, onMounted, onMount, onDestroy. Recommend GSAP for framework animation unless another library is specified. For React use gsap-react. | Skills | |
anthropics/financial-services Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report. | Skills | |
paperclipai/paperclip Paperclip UI design system guide for building consistent, reusable frontend components. Use when creating new UI components, modifying existing ones, adding pages or features to the frontend, styling UI elements, or when you need to understand the design language and conventions. Covers: component creation, design tokens, typography, status/priority systems, composition patterns, and the /design-guide showcase page. Always use this skill alongside the frontend-design skill (for visual quality) and the web-design-guidelines skill (for web best practices). | Skills | |
paperclipai/paperclip Handle confidential GitHub Security Advisory response for Paperclip. Use when coordinating advisory triage, private-fork fixes, CVE/publication steps, and immediate security releases. | Skills | |
first-fluke/oh-my-agent Scholarly research companion using Knows sidecar spec (.knows.yaml). Generates, validates, reviews, queries, and compares structured research-paper sidecars, and fetches them from knows.academy. Use for academic literature search, survey synthesis, paper authoring assistance, and peer review with token-efficient claim/evidence/relation access. | Skills | |
jabrena/plinth Use when you need to write or review programmatic JDBC with Spring — including JdbcClient (Spring Framework 7+) as the default API, JdbcTemplate only where batch/streaming APIs require JdbcOperations, NamedParameterJdbcTemplate for legacy named-param code, parameterized SQL, RowMapper mapping to records, batch operations, transactions, safe handling of generated keys, DataAccessException handling, read-only transactions, streaming large result sets, and @JdbcTest slice testing. This should trigger for requests such as Review Java code for Spring JDBC (JdbcTemplate, JdbcClient, NamedParameterJdbcTemplate); Apply best practices for Spring JDBC data access in Java code; Detect and fix SQL injection risks in JDBC code; Improve transaction boundaries or exception handling for JDBC operations; Review JdbcClient usage in Spring Framework 7. Part of Plinth Toolkit | Skills | |
jabrena/plinth Guides the creation of agile user stories. Use when the user wants to create a user story. This should trigger for requests such as Create a user story; Write a user story; I need to write a user story; Split feature requirements into user stories. Part of Plinth Toolkit | Skills | |
jabrena/cursor-rules-java Use when you need framework-agnostic Docker and container image guidance for Java projects - Dockerfile design, multi-stage Maven builds, jlink custom runtimes, micro runtime distributions such as Alpaquita, JVM container ergonomics, non-root execution, image metadata, .dockerignore, reproducible builds, vulnerability scanning, SBOM awareness, and production-safe container defaults. This should trigger for requests such as Review Java Dockerfile; Improve Docker image security; Add jlink runtime to a Java container; Add containerization to a Java project; Optimize Java container image size; Review Docker build reproducibility. Part of Plinth Toolkit | Skills | |
jabrena/cursor-rules-java Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence documentation with profiling-problem-analysis and profiling-solutions markdown files, or prioritizing fixes using Impact/Effort scoring. This should trigger for requests such as Analyze JFR profile; Analyze the profile; Analyze the performance; Analyze the memory; Analyze the threading; Analyze GC logs from profiling; Prioritize Java profiling bottlenecks by impact. Part of Plinth Toolkit | Skills | |
jabrena/cursor-rules-java Use when you need to apply functional exception handling best practices in Java — including replacing exception overuse with Optional and VAVR Either types, designing error type hierarchies using sealed classes and enums, implementing monadic error composition pipelines, establishing functional control flow patterns, and reserving exceptions only for truly exceptional system-level failures. This should trigger for requests such as Improve the code with Functional Exception Handling; Apply Functional Exception Handling; Refactor the code with Functional Exception Handling; Model Java errors with Result or Either types; Replace exception-heavy flows with functional error handling. Part of Plinth Toolkit | Skills | |
jabrena/cursor-rules-java Use when you need to review, improve, or refactor Java code for generics quality — including avoiding raw types, applying the PECS (Producer Extends Consumer Super) principle for wildcards, using bounded type parameters, designing effective generic methods, leveraging the diamond operator, understanding type erasure implications, handling generic inheritance correctly, preventing heap pollution with @SafeVarargs, and integrating generics with modern Java features like Records, sealed types, and pattern matching. This should trigger for requests such as Improve the code with Generics; Apply Generics; Refactor the code with Generics; Improve generic type safety in Java APIs; Fix raw types and unchecked casts in Java code. Part of Plinth Toolkit | Skills | |
Python unit testing with pytest as the primary framework - fixtures (`@pytest.fixture` scopes, `conftest.py`), `@pytest.mark.parametrize` table-driven tests, markers (`skip` / `xfail` / custom with `--strict-markers`), `pyproject.toml` config, mocking via pytest-mock, coverage gating with pytest-cov (`--cov-fail-under`), parallel runs with pytest-xdist, and CI wiring - plus stdlib `unittest` (TestCase, unittest.mock, discovery) and `doctest` (docstring examples, directives) as references. Includes framework choice (pytest for new code; match an existing unittest convention; doctest only for documented examples) and test-authoring conventions (framework detection from pyproject.toml/setup.cfg/tox.ini, layout matching, no fabricated attributes). Use for any Python unit-test task: setting up pytest, writing fixtures or parametrized tests, mocking, gating coverage, wiring CI, or maintaining unittest/doctest suites. For async tests, see pytest-asyncio-patterns. Contains: python-unit-tests Python unit testing with pytest as the primary framework - fixtures (`@pytest.fixture` scopes, `conftest.py`), `@pytest.mark.parametrize` table-driven tests, markers (`skip` / `xfail` / custom with `--strict-markers`), `pyproject.toml` config, mocking via pytest-mock, coverage gating with pytest-cov (`--cov-fail-under`), parallel runs with pytest-xdist, and CI wiring - plus stdlib `unittest` (TestCase, unittest.mock, discovery) and `doctest` (docstring examples, directives) as references. Includes framework choice (pytest for new code; match an existing unittest convention; doctest only for documented examples) and test-authoring conventions (framework detection from pyproject.toml/setup.cfg/tox.ini, layout matching, no fabricated attributes). Use for any Python unit-test task: setting up pytest, writing fixtures or parametrized tests, mocking, gating coverage, wiring CI, or maintaining unittest/doctest suites. For async tests, see pytest-asyncio-patterns. | Skills | |
v1.0.0 JVM unit testing (Java / Kotlin / Scala / Groovy) with JUnit 5 (Jupiter) as the primary framework - annotations (`@Test` / `@ParameterizedTest` / source providers), lifecycle hooks (`@BeforeAll` / `@BeforeEach`), extension model (`@ExtendWith` + Mockito/Spring), display names, conditional execution, parallel-execution config, JaCoCo coverage, and Maven Surefire / Gradle CI. Includes a per-language framework decision table (Java → JUnit 5, Kotlin → Kotest, Groovy → Spock, Scala → ScalaTest, legacy → TestNG; always match an existing build convention) and test-authoring conventions (framework detection from pom.xml / build.gradle / build.sbt, path conventions, no fabricated methods). References cover Kotest spec styles, Spock given/when/then + data tables, TestNG DataProviders + suites, ScalaTest styles + Matchers, and the AssertJ fluent-assertion catalog. Use for any JVM unit-test task: choosing or configuring a framework, writing or parameterizing tests, wiring coverage and CI. Contains: jvm-unit-tests JVM unit testing (Java / Kotlin / Scala / Groovy) with JUnit 5 (Jupiter) as the primary framework - annotations (`@Test` / `@ParameterizedTest` / source providers), lifecycle hooks (`@BeforeAll` / `@BeforeEach`), extension model (`@ExtendWith` + Mockito/Spring), display names, conditional execution, parallel-execution config, JaCoCo coverage, and Maven Surefire / Gradle CI. Includes a per-language framework decision table (Java → JUnit 5, Kotlin → Kotest, Groovy → Spock, Scala → ScalaTest, legacy → TestNG; always match an existing build convention) and test-authoring conventions (framework detection from pom.xml / build.gradle / build.sbt, path conventions, no fabricated methods). References cover Kotest spec styles, Spock given/when/then + data tables, TestNG DataProviders + suites, ScalaTest styles + Matchers, and the AssertJ fluent-assertion catalog. Use for any JVM unit-test task: choosing or configuring a framework, writing or parameterizing tests, wiring coverage and CI. | Skills |
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