Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
JetBrains/MPS Use when working with TeamCity CI/CD or when user provides a TeamCity build URL. Use `teamcity` CLI for builds, logs, jobs, queues, agents, and pipelines. | Skills | |
aditya-ariosity/ux-ui-skills Audit or critique an existing digital product artifact or flow and return evidence-backed, severity-calibrated findings. Trigger on "audit this", "critique this screen", "review this flow", "usability review", "heuristic evaluation", or "find UX issues" when inspectable evidence is available. Use dashboard-redesign for dashboard redesigns and design-system-review for system-wide library reviews. Do not use for greenfield design. | Skills | |
majiayu000/claude-skill-registry-data Create and enhance prompts, system instructions, and principle files. Capabilities: transform verbose prompts, add patterns/heuristics, optimize token usage, structure CLAUDE.md principles, improve agent/persona definitions, apply prompt engineering techniques (CoT, few-shot, ReAct). Actions: create, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, system prompt, CLAUDE.md, principle files, instruction optimization, agent prompt, persona prompt, token efficiency, prompt structure, workflow prompts, rules, constraints, few-shot, chain-of-thought, soul, tensions, dialectic. Use when: creating new prompts, enhancing principle files, improving system instructions, optimizing CLAUDE.md, restructuring verbose prompts, adding patterns to workflows, defining agent behaviors. | Skills | |
majiayu000/claude-skill-registry Create and enhance prompts, system instructions, and principle files. Capabilities: transform verbose prompts, add patterns/heuristics, optimize token usage, structure CLAUDE.md principles, improve agent/persona definitions, apply prompt engineering techniques (CoT, few-shot, ReAct). Actions: create, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, system prompt, CLAUDE.md, principle files, instruction optimization, agent prompt, persona prompt, token efficiency, prompt structure, workflow prompts, rules, constraints, few-shot, chain-of-thought, soul, tensions, dialectic. Use when: creating new prompts, enhancing principle files, improving system instructions, optimizing CLAUDE.md, restructuring verbose prompts, adding patterns to workflows, defining agent behaviors. | Skills | |
v1.3.0 Adopt and maintain an Open Knowledge Format v0.2 documentation bundle: frontmatter, generated indexes, a fail-closed conformance check, and coverage that names every unindexed document Contains: okf-maintain Use when adopting the Open Knowledge Format (OKF v0.2) in a repository, or maintaining a documentation bundle already in it: bootstraps a conformant tree, stamps and repairs YAML frontmatter, regenerates every index.md bottom-up so no document goes unlisted, excludes paths another tool owns via .okfignore, removes log.md and strips changelog/history sections because git already holds history losslessly, and wires CLAUDE.md/AGENTS.md/GEMINI.md to the root index so agents stop grepping for a document's identity. Ships a conformance check that fails closed, plus a coverage check that names every document no index reaches. Triggers on: 'set up OKF', 'make these docs OKF-conformant', 'regenerate the docs index', 'add frontmatter to the docs', 'which docs are missing from the index', 'our documentation keeps drifting'. NOT for writing a document's body or deciding its content - repo templates and the adr skill own that. NOT for reverse-engineering a codebase into fresh specs. | Skills | |
v1.0.3 Apache Flink SQL, Table API, and UDF development for both OSS Flink and Confluent Cloud Contains: flink-sql Apache Flink SQL, Table API, and UDF development for both OSS Flink and Confluent Cloud. Use when: (1) Writing Flink SQL queries (windows, joins, aggregations, MATCH_RECOGNIZE), (2) Building Table API pipelines in Java or Python, (3) Creating UDFs (scalar, table functions) for Flink, (4) Deploying Flink jobs to Confluent Cloud, (5) Converting between DataStream and Table API, (6) Troubleshooting Flink SQL errors. Covers windowing, event-time processing, watermarks, state management, and Confluent-specific patterns. | Skills | |
wshobson/agents Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns. | Skills | |
github/awesome-copilot Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs. | Skills | |
NeverSight/learn-skills.dev Query BondTerminal API using x402 keyless payments. No API key needed — pay $0.01 USDC per request on Base mainnet. Use when users ask for Argentine bond data, analytics, cashflows, history, riesgo país, or ISIN/ticker lookups (e.g. AL30, GD30, US040114HS26). Supports automatic 402 → payment → retry. | Skills | |
v0.1.4 Scale PubNub applications for high-volume real-time events Contains: pubnub-scale Scale PubNub applications for high-volume real-time events | Skills | |
databricks/databricks-agent-skills Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps. | Skills | |
ArabelaTso/Skills-4-SE Extract abstract mathematical models from functional code (Haskell, OCaml, F#) for formal reasoning in Isabelle/HOL. Use when users need to: (1) Convert functional programs to Isabelle definitions, (2) Extract high-level algorithm essence from implementation code, (3) Generate formal specifications and properties from code, (4) Create verification-ready models that capture mathematical properties while abstracting away implementation details. Focuses on structural recursion, algebraic data types, higher-order functions, and invariant extraction. | Skills | |
openai/skills Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. | Skills | |
SpecterOps/Nemesis Addresses GitHub Dependabot security alerts by listing open alerts, identifying affected Python/uv, frontend npm, and Titus Go projects, upgrading vulnerable dependencies, running verification, and committing fixes. Use when the user wants to fix Dependabot alerts, upgrade vulnerable packages, or address security vulnerabilities found by Dependabot. | Skills | |
OpenTelemetry Collector deployment, instrumentation (Java/Python/Node.js/.NET/Go), and OTTL pipeline transforms for Coralogix — coralogix exporter config, Helm chart selection, Kubernetes topology, ECS/EKS/GKE deployments, SDK setup, APM transactions, and OTTL cardinality/PII/routing. Contains: opentelemetry-collector OpenTelemetry Collector deployment, configuration, and troubleshooting for Coralogix users. Use when writing or debugging collector configs — the `coralogix` exporter (`domain:` vs `endpoint:`, `${env:CORALOGIX_PRIVATE_KEY}` bracket syntax, `coralogix/resource_catalog` variant), the universal processor chain, agent → cluster-collector → gateway topology, spanmetrics/tail_sampling/k8sattributes placement, component stability checks, data-safety/redaction routing including `url_sanitizer`, `sanitize_span_name`, `allow_all_keys`, and before/after validation for broad sanitizer over-sanitization, spanmetrics cardinality protection, and Coralogix-specific presets. Covers the `otel-integration` Helm chart (EKS/GKE/AKS/ OpenShift, GKE Autopilot Warden, EKS Fargate), ECS EC2 daemonset, ECS Fargate sidecar, Linux/Windows/macOS standalone, Docker, and the universal installer. Not for OTTL authoring (use the `opentelemetry-ottl` skill) or OpAMP supervisor/Fleet Manager internals beyond the config-precedence callout. opentelemetry-instrumentation Instruments Java, Python, Node.js, .NET, and Go applications with OpenTelemetry SDKs to send traces, metrics, and logs to Coralogix. Use for SDK-side OTel setup, OTLP exporter env vars, Coralogix resource attributes, APM transaction samplers, Kubernetes Operator injection, or debugging missing traces, metrics, logs, or no telemetry from an application. Not for OTel Collector config (use opentelemetry-collector), OTTL authoring (use opentelemetry-ottl), eBPF instrumentation, or Lambda layers. opentelemetry-ottl OpenTelemetry Transformation Language (OTTL) for OTel Collector pipelines. Use when writing or debugging OTTL statements in the transform processor, filter processor, or routing connector in any collector configuration — context selection, path expression mistakes (`attributes` vs `resource.attributes`), `error_mode`, cardinality reduction with `keep_keys`, JSON body handling with `ParseJSON`, PII redaction with `SHA256` / `replace_pattern`, and span naming. Not for receiver/exporter connectivity, DNS, pipeline wiring, or telemetry that never reaches the processor — those are infra problems, not OTTL problems. opentelemetry-semantic-conventions Use when a Coralogix/OpenTelemetry issue depends on telemetry semantics: resource/span/metric/log attribute names, values, scopes, schemas, generated metric labels, or collection topology affecting product behavior. Trigger for missing or empty APM Service Catalog, Transactions, Error/API Error Tracking, Database Catalog/DB Monitoring, Span Metrics RED metrics, Infrastructure Explorer/Resource Catalog, AI Center/GenAI, Custom Metrics, or logs/serverless metadata, especially with service.name, http.route, http.response.status_code, db.system / db.system.name, db.namespace, k8s.*, host.*, cloud.*, gen_ai.*, resource_ttl, interval, otel.entity.interval, url.full, service.instance.id, label/cardinality, or temporality questions. Do not use for pure OTTL syntax, collector/Helm wiring, SDK install, cx.application.name/cx.subsystem.name routing, dashboards, Jira, or version-upgrade planning. | Skills | |
Write correct Django tests — TestCase vs TransactionTestCase, setUpTestData, factory-boy, assertNumQueries, mock.patch placement, and DRF APITestCase patterns Contains: django-testing Write correct Django tests that avoid common pitfalls. Covers TestCase vs TransactionTestCase, setUp vs setUpTestData, factory-boy patterns, assertNumQueries, mock.patch placement, override_settings, file upload testing, management command testing, and DRF APITestCase. Use when writing or reviewing Django test suites. | Skills | |
Security essentials for Django — CSRF, CORS, security middleware, ALLOWED_HOSTS, Contains: django-security-basics Security essentials for Django — CSRF, CORS, security middleware, ALLOWED_HOSTS, secrets management, and common misconfigurations. Use when building or reviewing Django apps before production deployment, or when a security audit flags issues. | Skills | |
Use when work needs to be handed off to another agent or another human. Produce a continuation-ready brief with the objective, completed work, assumptions, unresolved issues, and next action instead of a generic summary. Good triggers include "prepare a handoff", "make this resumable", and "summarize this for another agent". Contains: compact-handoff Use when work needs to be handed off to another agent or another human. Produce a continuation-ready brief with the objective, completed work, assumptions, unresolved issues, and next action instead of a generic summary. Good triggers include "prepare a handoff", "make this resumable", and "summarize this for another agent". | Skills | |
netlify/context-and-tools Configure Netlify builds and routing via netlify.toml, _redirects, and _headers. Use when setting a build command or publish directory, adding redirects or rewrites or proxies, adding an SPA fallback rewrite, setting custom response headers or basic auth, managing environment variables and secrets, scoping vars per deploy context, marking a var as secret, disabling secret scanning, configuring functions bundling, ignoring builds, or wiring up a monorepo or JavaScript SPA on Netlify. | Skills | |
github/awesome-copilot Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup. | Skills |
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