Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
advaitpaliwal/feynman Create or revise Feynman skills. Use when a research workflow needs a reusable on-demand capability, skill metadata, trigger wording, references, scripts, or skill validation. | Skills | |
XiaomiMiMo/MiMo-Code Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Use whenever the task produces or modifies anything a user will see rendered — websites, landing pages, web apps, dashboards, React/HTML/Vue components, artifacts with visual output, style overhauls, or "make this look better" requests — even if the user never says the word "design". Covers aesthetic direction, typography, environment constraints (fonts, Tailwind, assets), and when to converge on convention instead of chasing distinctiveness. | Skills | |
MODSetter/SurfSense Coordinates frontend and UI implementation, refactoring, and review using the project's color system, React performance, shadcn/ui, interface-polish, and animation-vocabulary skills. Use when the user explicitly requests /frontend-workflow for a frontend task. | Skills | |
microsoft/data-formulator Discover connected data sources, add new data connectors through a user-confirmed form, inspect table metadata, and run bounded read-only probes when the current workspace data is insufficient. | Skills | |
Demerzels-lab/elsamultiskillagent Register and manage AI agents on ClawdNet, the decentralized agent registry. Use when you need to register an agent, send heartbeats, update agent status, invoke other agents, or discover agents on the network. | Skills | |
Demerzels-lab/elsamultiskillagent Build high-quality collaborative worlds in Doppel. Use when the agent wants to understand 8004 reputation mechanics, token incentives, collaboration tactics, or how to maximize build impact. Covers streaks, theme adherence, and the rep-to-token pipeline. | Skills | |
flowglad/flowglad Implement checkout sessions for purchasing subscriptions and products with Flowglad. Use this skill when creating upgrade buttons, purchase flows, or redirecting users to hosted checkout pages. | Skills | |
flowglad/flowglad Create incident postmortems by reading Slack incident channels and creating structured postmortem documents in Notion. Use when conducting postmortem reviews or documenting incident responses. | Skills | |
v0.1.2 Walk a release readiness checklist — migrations, feature flags, changelog, docs — and report what is missing before the release window. Contains: release-check Walk a release readiness checklist (migrations, feature flags, changelog, and docs) against the changes since the last release, and report what is missing. Use before a release window so problems surface while there is still time to fix them. | Skills | |
v0.1.6 Ground truth for Govee Flow Plus Light Bars (H6056): phantom segments, bar-to-segment mapping, API auth and rate limits. Language-agnostic facts; Kotlin/Ktor reference example. Contains: govee-h6056-control Controls Govee H6056 Flow Plus light bars (smart LED lights) via cloud REST API with correct segment-to-bar mapping (Yankee=0-5, Golf=6-11), phantom-segment awareness (12-14 return 200 OK but do nothing), correct "off" semantics (rgb=(1,1,1), not (0,0,0)), and rate-limit guidance (~7 req/min sustained → pair with iot-actuator-patterns-kotlin debounce). Use when the user wants to control Govee H6056 light bars, change LED light colors or brightness, set bar segment colors, or automate Govee smart lighting scenes. | SkillsRules | |
Every cohort arrives asking the same questions, and student services answers them all term. Turn your handbook and orientation materials into an interactive digital-human student orientation course that prepares new students before day one and stays askable after. Fees, visas, housing, and policies come only from your documents — never invented. Contains: personwise-student-orientation Use when the user asks for Student Orientation from supplied source materials. Trigger language: student orientation; new student orientation; international student orientation. Produce a grounded interactive digital-human course learners can interrupt with voice questions. Do not invent unsupported facts or claim external certification, competence, or real-world completion. With explicit approval, this Skill may install or update the official PersonWise CLI and uses browser OAuth. Other course-creation requests are handled only when the user explicitly asks for them with this Skill. | Skills | |
Every new hire asks the same first-week questions, and HR answers them one at a time. Turn your handbook and onboarding plan into an interactive digital-human employee onboarding course that ramps new hires and answers their questions on demand. Individual labor, compensation, or legal matters always route back to HR — the course never improvises them. Contains: personwise-employee-onboarding Use when the user asks for Employee Onboarding Course from supplied source materials. Trigger language: employee onboarding; new hire onboarding; new hire training; role ramp. Produce a grounded interactive digital-human course learners can interrupt with voice questions. Do not invent unsupported facts or claim external certification, competence, or real-world completion. With explicit approval, this Skill may install or update the official PersonWise CLI and uses browser OAuth. Other course-creation requests are handled only when the user explicitly asks for them with this Skill. | Skills | |
Pure-reference catalog of Daylight Saving Time (DST) transition patterns and their canonical bug classes. Covers the spring-forward (skipped hour: 02:00 → 03:00 local) and fall-back (repeated hour: 02:00 → 01:00 local) transitions, the historical irregularity of DST (different jurisdictions, transitions on different dates, some regions abolish DST or never adopted it), the IANA timezone database (tz / Olson DB) as the canonical source, and the testable behaviors DST creates (duplicate / missing local timestamps, cron jobs that fire 0 or 2 times, billing periods that miss / double-count, recurring meetings on transition days). Per-jurisdiction DST-rule tables, refreshable per-region test-data fixtures, and the leap-second reference (23:59:60 insertion, time_t stalls, leap-smear vs step, monotonic-clock fixes) live in references/. Use when designing or auditing time-handling code or test cases, or when auditing leap-second assumptions. Contains: dst-transition-reference Pure-reference catalog of Daylight Saving Time (DST) transition patterns and their canonical bug classes. Covers the spring-forward (skipped hour: 02:00 → 03:00 local) and fall-back (repeated hour: 02:00 → 01:00 local) transitions, the historical irregularity of DST (different jurisdictions, transitions on different dates, some regions abolish DST or never adopted it), the IANA timezone database (tz / Olson DB) as the canonical source, and the testable behaviors DST creates (duplicate / missing local timestamps, cron jobs that fire 0 or 2 times, billing periods that miss / double-count, recurring meetings on transition days). Per-jurisdiction DST-rule tables, refreshable per-region test-data fixtures, and the leap-second reference (23:59:60 insertion, time_t stalls, leap-smear vs step, monotonic-clock fixes) live in references/. Use when designing or auditing time-handling code or test cases, or when auditing leap-second assumptions. | Skills | |
v1.2.14 Build error-budget gate tests - SLO + error-budget calculation per Google SRE workbook ("difference between target uptime and actual uptime"); burn-rate alerting; monthly-budget exhaustion test; freeze-trigger when budget consumed. Per sre.google embracing-risk reference. Includes the incident-metrics reference for MTTR / MTBF / MTTD / MTTA - per-incident record schema, calculation formulae, exclusion rules, dashboards-as-code, and target-vs-actual alerting. Use when an SLO and error budget are written down but nothing verifies that burn-rate alerts fire or that the release freeze engages when the budget runs out, or when MTTR / MTBF dashboards report numbers nobody can reproduce. Contains: error-budget-tests Build error-budget gate tests - SLO + error-budget calculation per Google SRE workbook ("difference between target uptime and actual uptime"); burn-rate alerting; monthly-budget exhaustion test; freeze-trigger when budget consumed. Per sre.google embracing-risk reference. Includes the incident-metrics reference for MTTR / MTBF / MTTD / MTTA - per-incident record schema, calculation formulae, exclusion rules, dashboards-as-code, and target-vs-actual alerting. Use when an SLO and error budget are written down but nothing verifies that burn-rate alerts fire or that the release freeze engages when the budget runs out, or when MTTR / MTBF dashboards report numbers nobody can reproduce. | Skills | |
v1.1.15 Configures Checkov for IaC security scanning across Terraform, CloudFormation, Kubernetes, Helm, ARM, Serverless, AWS CDK - `pip install checkov`, custom Python checks, SARIF / JUnit output, and `--baseline` gating so CI fails only on new findings in legacy code. Use for the broadest built-in rule set with Python custom checks; for a consolidated new-project scanner (and the tfsec successor) use trivy-config. Contains: checkov-policy Configures Checkov for IaC security scanning across Terraform, CloudFormation, Kubernetes, Helm, ARM, Serverless, AWS CDK - `pip install checkov`, custom Python checks, SARIF / JUnit output, and `--baseline` gating so CI fails only on new findings in legacy code. Use for the broadest built-in rule set with Python custom checks; for a consolidated new-project scanner (and the tfsec successor) use trivy-config. | Skills | |
The single gRPC-streaming test home: builds streaming-RPC test suites from a proto definition. Classifies each RPC by pattern (unary, server-streaming, client-streaming, bidi), then emits the required categories per pattern - ordering preservation, completion semantics (server close after stream end, client half-close), cancellation, deadline handling, partial-stream failure. Produces skeletons for Go (bufconn + Send/Recv), Python (iterators), JVM (StreamObserver), Node (call.write/end); carries the 17-code gRPC status catalog (retry semantics per AIP-194, grpc-gateway HTTP mapping) in references/status-codes.md and the wire-level / live-server streaming patterns (deadline propagation, server-side cancellation, metadata, ghz load) in references/wire-level-testing.md. Use when adding tests for a new or existing streaming RPC, auditing a suite for uncovered categories, or asserting status-code behavior. Different test surface from grpc-mock (the in-process harness itself). Contains: grpc-streaming-test-author The single gRPC-streaming test home: builds streaming-RPC test suites from a proto definition. Classifies each RPC by pattern (unary, server-streaming, client-streaming, bidi), then emits the required categories per pattern - ordering preservation, completion semantics (server close after stream end, client half-close), cancellation, deadline handling, partial-stream failure. Produces skeletons for Go (bufconn + Send/Recv), Python (iterators), JVM (StreamObserver), Node (call.write/end); carries the 17-code gRPC status catalog (retry semantics per AIP-194, grpc-gateway HTTP mapping) in references/status-codes.md and the wire-level / live-server streaming patterns (deadline propagation, server-side cancellation, metadata, ghz load) in references/wire-level-testing.md. Use when adding tests for a new or existing streaming RPC, auditing a suite for uncovered categories, or asserting status-code behavior. Different test surface from grpc-mock (the in-process harness itself). | Skills | |
Author trace-shape assertions in tests using OpenTelemetry SDK in-memory exporter - capture spans during test execution, assert on span name + attributes + status + parent-child structure + duration. Cross-language patterns (Python `InMemorySpanExporter` + `SimpleSpanProcessor`, JS `getRecordedSpans()`, Java `OpenTelemetryExtension`); CI integration. Use when a service is instrumented with the OpenTelemetry SDK and downstream alerts, SLOs, or dashboards depend on specific span names or attributes that a refactor could silently drop. Contains: opentelemetry-trace-assertions Author trace-shape assertions in tests using OpenTelemetry SDK in-memory exporter - capture spans during test execution, assert on span name + attributes + status + parent-child structure + duration. Cross-language patterns (Python `InMemorySpanExporter` + `SimpleSpanProcessor`, JS `getRecordedSpans()`, Java `OpenTelemetryExtension`); CI integration. Use when a service is instrumented with the OpenTelemetry SDK and downstream alerts, SLOs, or dashboards depend on specific span names or attributes that a refactor could silently drop. | Skills | |
Authors and runs Atlas database schema migrations - declarative HCL or SQL schema definition with `atlas schema apply` for desired-state apply OR `atlas migrate diff` to generate versioned migrations against a dev DB; `atlas migrate apply` to deploy; `atlas migrate lint` to flag destructive / locking / data-loss patterns; `atlas migrate hash` to detect tampering. Supports PostgreSQL, MySQL, SQL Server, ClickHouse, SQLite, MariaDB, Snowflake, Oracle, Redshift, Spanner, CockroachDB, Databricks. Use when the user wants Terraform-style declarative DB schema management or modern SQL-first migration linting beyond Flyway / Liquibase. Contains: atlas-migrations Authors and runs Atlas database schema migrations - declarative HCL or SQL schema definition with `atlas schema apply` for desired-state apply OR `atlas migrate diff` to generate versioned migrations against a dev DB; `atlas migrate apply` to deploy; `atlas migrate lint` to flag destructive / locking / data-loss patterns; `atlas migrate hash` to detect tampering. Supports PostgreSQL, MySQL, SQL Server, ClickHouse, SQLite, MariaDB, Snowflake, Oracle, Redshift, Spanner, CockroachDB, Databricks. Use when the user wants Terraform-style declarative DB schema management or modern SQL-first migration linting beyond Flyway / Liquibase. | Skills | |
Wraps the varnishtest CLI + VTC (Varnish Test Case) syntax for testing VCL configurations. Covers the VTC test-file format (varnishtest scripts with server { ... } + client { ... } + varnish v1 -vcl+backend { ... } blocks), the grace-mode + saint-mode behaviours (stale-while-revalidate + stale-if-error equivalents in VCL), the PURGE method handler pattern (vcl_purge subroutine + ACL guards), and surrogate-key invalidation via xkey vmod. Use when authoring or testing Varnish-based caching layers. Contains: varnish-test-vtc-syntax Wraps the varnishtest CLI + VTC (Varnish Test Case) syntax for testing VCL configurations. Covers the VTC test-file format (varnishtest scripts with server { ... } + client { ... } + varnish v1 -vcl+backend { ... } blocks), the grace-mode + saint-mode behaviours (stale-while-revalidate + stale-if-error equivalents in VCL), the PURGE method handler pattern (vcl_purge subroutine + ACL guards), and surrogate-key invalidation via xkey vmod. Use when authoring or testing Varnish-based caching layers. | Skills | |
Build-an-X workflow for model-based testing (MBT) per the canonical definition - authors a state-machine model of the SUT (states + transitions + guards + actions), validates the model is connected and complete, and runs the full graph-to-suite pipeline: pick a coverage criterion, generate covering paths, bridge each path into an acceptance-criterion entry ai-test-generator consumes, and assemble the generated tests into a suite file with confidence tiers and a curation note routing to ai-test-curator before merge. Per Wikipedia (en.wikipedia.org/wiki/Model-based_testing): MBT "leverages model-based design for designing and possibly executing tests." Use when a complex stateful flow (checkout, onboarding, multi-step wizard) needs systematic coverage that ad-hoc tests miss, or when the whole model-to-suite pipeline should run in one coordinated pass. Contains: model-based-test-graph-author Build-an-X workflow for model-based testing (MBT) per the canonical definition - authors a state-machine model of the SUT (states + transitions + guards + actions), validates the model is connected and complete, and runs the full graph-to-suite pipeline: pick a coverage criterion, generate covering paths, bridge each path into an acceptance-criterion entry ai-test-generator consumes, and assemble the generated tests into a suite file with confidence tiers and a curation note routing to ai-test-curator before merge. Per Wikipedia (en.wikipedia.org/wiki/Model-based_testing): MBT "leverages model-based design for designing and possibly executing tests." Use when a complex stateful flow (checkout, onboarding, multi-step wizard) needs systematic coverage that ad-hoc tests miss, or when the whole model-to-suite pipeline should run in one coordinated pass. | Skills |
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