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flux-controller-patch-releases

fluxcd/agent-skills

Run the upstream Flux controller patch release procedure for helm-controller, image-automation-controller, image-reflector-controller, kustomize-controller, notification-controller, source-controller, and source-watcher. Use when preparing a new controller patch release from a release series branch, drafting changelog entries, tagging releases, and opening the follow-up changelog PRs back to main.

Skills

72

rampstackco/claude-skills

Design and run a monitoring system for a website or web app. Use this skill when setting up uptime checks, defining SLOs, configuring error tracking, choosing what to alert on, designing on-call rotations, or fixing alert fatigue. Triggers on monitoring, alerts, uptime, SLO, SLA, error rate, on-call, pager, alert fatigue, observability, dashboards, what should we monitor. Also triggers when an incident reveals a gap in monitoring.

Skills

72

rampstackco/claude-skills

Communicate effectively with stakeholders across functions and seniority levels. Use this skill when writing status updates, preparing executive reviews, sharing technical decisions with non-technical audiences, managing up, communicating bad news, or designing the communication cadence for a project. Triggers on stakeholder update, status report, executive summary, exec review, manage up, communicate bad news, project comms, status meeting, weekly update. Also triggers when a project is going off track and the team needs to communicate it.

Skills

72

rampstackco/claude-skills

Run QA testing on a page, feature, or full site at one of three depth tiers (smoke, standard, full). Use this skill whenever the user asks to QA a page or site, run a smoke test after a deploy, verify a page before launch, or run a regression sweep. Triggers on QA, QA sweep, smoke test, regression test, post-deploy check, pre-launch check, verify the deploy, test this page, does the page render, broken link, 404, image not loading. Also triggers proactively after a deploy or a new page launch where verification matters. Covers accessibility, performance, and SEO at the surface-signal level only: deep audits belong to `accessibility-audit`, `performance-optimization`, and `seo-technical`, and code-level debugging to `code-review-web`.

Skills

72

PaloAltoNetworks/shifter

Stand up or rebuild an AWS Shifter tenant end to end (teardown, bootstrap, secrets, image bakes, deploy via the real deploy.yml dispatch, health check, base-range smoke, and a POLARIS range walkthrough). AWS only. Use when asked to rebuild, redeploy, or stand up an AWS tenant such as proof or aws-dev from a clean state.

Skills

72

canonical/copilot-collections

Performs comprehensive documentation review including build validation, Diataxis analysis, structure audit, accuracy verification, and style compliance. Use when reviewing documentation changes or auditing documentation quality.

Skills

72

provectus/awos-recruitment

AWS Lambda best practices for function design, configuration, and operations. Use when designing Lambda functions, choosing memory/timeout settings, planning concurrency and scaling, setting up monitoring, processing streams, or securing Lambda workloads. Triggers on tasks involving Lambda function creation, handler design, cold start optimization, idempotency, event source mapping, reserved/provisioned concurrency, or deciding whether Lambda is the right compute choice. Does not cover language-specific SDK patterns, CloudFormation/Terraform resource definitions, or Lambda@Edge.

Skills

72

provectus/awos-recruitment

Production patterns for building LangGraph StateGraph workflows deployed on AWS Bedrock AgentCore. Covers graph design, interrupt-based human-in-the-loop, multi-day checkpointing, 3-tier model routing with fallback chains, confidence calibration implementation, Cedar policy enforcement for agent authorization, cost-aware pipeline design, AgentCore Runtime deployment, Bedrock Foundation Models and Guardrails, MCP tool integration via AgentCore Gateway, and observability with LangSmith and CloudWatch. Use when building agentic AI workflows with LangGraph, deploying agents on AWS Bedrock AgentCore, or implementing interrupt-based HITL workflows.

Skills

72

provectus/awos-recruitment

This skill should be used when the user asks to "write Kotlin code", "create a Kotlin class", "set up a Kotlin project", "review Kotlin code", "refactor Kotlin", "use coroutines", "fix Kotlin style", "set up Detekt", "configure ktlint", "add static analysis", "set up code linting", or when generating any Kotlin source code. Provides modern Kotlin 2.1+ best practices covering null safety, coroutines, data modeling, error handling, idiomatic patterns, and static analysis (Detekt, ktlint). Does not cover any specific library or framework.

Skills

72

provectus/awos-recruitment

FastAPI best practices and conventions. Use when writing, reviewing, or refactoring FastAPI applications — route handlers, Pydantic schemas, dependency injection, project structure, async patterns, testing, or API documentation. Triggers on tasks involving FastAPI routers, endpoints, request validation, response models, or application configuration. Does not cover general Python syntax or typing — see modern-python-development for that.

Skills

72

provectus/awos-recruitment

AWS DynamoDB best practices for table design and data modeling. Use when designing DynamoDB schemas, choosing partition/sort keys, creating secondary indexes, modeling relationships, handling time series data, or optimizing query patterns. Triggers on tasks involving DynamoDB table creation, key design, GSI/LSI configuration, single-table design, adjacency lists, write sharding, or capacity planning. Does not cover DynamoDB SDK/API reference or CloudFormation/Terraform resource definitions.

Skills

72

provectus/awos-recruitment

Use when the user wants to watch the current GitHub repo for pull requests that need their review — new PRs, explicit review requests, re-requests after new commits — e.g. "watch for incoming reviews", "check PRs needing my review", or to set up a recurring check. GitHub-only (gh CLI). Not for reviewing one specific known PR (invoke pr-review directly).

Skills

72

miroapp/miro-ai

Use when the user wants a brand-new, standalone Miro item created as its own content — a document, table, diagram, timeline, kanban board, slide deck, prototyping container, activities board, or embed — not added onto a board they're already working on (e.g. "create a doc in Miro about X", "make me a Miro table for Y", "set up a kanban board for Z"). Prefer this over the document/diagram/table skills when no existing board is in play.

Skills

72

miroapp/miro-ai

Use when the user wants a brand-new, standalone Miro item created as its own content — a document, table, diagram, timeline, kanban board, slide deck, prototyping container, activities board, or embed — not added onto a board they're already working on (e.g. "create a doc in Miro about X", "make me a Miro table for Y", "set up a kanban board for Z"). Prefer this over the document/diagram/table skills when no existing board is in play.

Skills

72

microsoft/power-platform-skills

Adds SEO essentials to a Power Pages code site, including robots.txt, sitemap.xml, meta tags, Open Graph tags, and favicon configuration. Use when the user wants to improve search engine optimization or make their site more searchable.

Skills

72

microsoft/azure-skills

Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs.

Skills

72

microsoft/azure-skills

List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list my VMs", "show storage accounts", "find container apps", and "what resources do I have". USE FOR: list websites, list web apps, list app services, show websites in subscription, resource inventory, find resources by tag, tag analysis, orphaned resource discovery (not for cost analysis), unattached disks, count resources by type, cross-subscription lookup, and Azure Resource Graph queries. DO NOT USE FOR: deploying/changing resources (use azure-deploy), cost optimization (use azure-cost), or non-Azure clouds.

Skills

72

figma/mcp-server-guide

Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the Figma screen to match code', 'convert this modal/dialog/drawer/panel to Figma'. This is the preferred workflow skill whenever the user wants to build or update a full page, modal, dialog, drawer, sidebar, panel, or any composed multi-section view in Figma from code or a description. Discovers design system components, variables, and styles from Code Connect files, existing screens, and library search, then imports them and assembles views incrementally section-by-section using design system tokens instead of hardcoded values.

Skills

72

fastly/fastly-agent-toolkit

Runs Fastly Compute WASM applications locally with Viceroy, specifically for Rust and Component Model projects. Use when starting a local Fastly Compute dev server with Viceroy, configuring fastly.toml for local backend overrides and store definitions, running Rust unit tests with cargo-nextest against the Compute runtime, debugging Compute apps locally, adapting core WASM modules to the Component Model, or troubleshooting local Compute testing issues (connection refused, missing backends, store config). For non-Rust Compute work or understanding the Compute API, prefer the fastlike skill instead — its source code is easier to understand as a Fastly Compute API reference.

Skills

72

fastly/fastly-agent-toolkit

Use when testing VCL against real Fastly edge infrastructure, writing assertion-based Fiddle tests, producing shareable fiddle URLs for bug reproductions, running VCL integration tests in CI, linting VCL remotely via the Fiddle API, or working with clientFetch/events/originFetches test expressions.

Skills

72

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