Loading...
Loading...
Found 1,351 Skills
This skill should be used when the user asks to "add an annotation", "upload artifacts from a step", "share data between steps", "upload pipeline dynamically", "request an OIDC token inside a step", "acquire a distributed lock", "get or update a step attribute", "redact a secret from logs", "retrieve a cluster secret at runtime", or "debug environment variables in hooks". Also use when the user mentions buildkite-agent annotate, buildkite-agent artifact upload/download, buildkite-agent meta-data set/get, buildkite-agent pipeline upload, buildkite-agent oidc request-token, buildkite-agent step, buildkite-agent lock, buildkite-agent env, buildkite-agent secret get, buildkite-agent redactor add, buildkite-agent tool sign/keygen, buildkite:webhook, raw webhook payloads, or any buildkite-agent subcommand used inside a running job step.
Huawei Cloud SWR enterprise instance management skill using hcloud CLI. Use this skill when the user wants to: (1) manage SWR enterprise instances - create/list/show/delete/update configuration, (2) manage instance namespaces - create/list/show/update/delete with security scanning settings, (3) manage instance registries (sync targets) - create/list/show/update/delete, (4) manage instance repositories - list/show/delete/update, (5) manage instance artifacts (image versions) - list/show/delete/scan, (6) manage instance credentials - long-term and temporary, (7) manage instance endpoints - internal/public access, (8) manage instance domains - add/list/show/delete/update, (9) check instance statistics and job status. Trigger: user mentions "SWR enterprise instance", "SWR 企业实例", "SWR 企业版", "企业仓库实例", "SWR instance", "SWR 专业版", "swr.ee", "instance namespace", "instance registry", "instance repository", "instance artifact", "instance credential", "instance endpoint", "instance domain", "企业仓库", "实例管理", "同步目标仓库", "sync target"
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.
Validate Salesforce metadata before deploying. TRIGGER when the user asks to validate a deploy, do a dry-run, check before deploying, or targets a Production org for any deploy operation. Routes prod targets to `sf project deploy validate` (returns a 10-day quick-deploy job ID) and sandbox/scratch targets to `sf project deploy start --dry-run`. DO NOT TRIGGER for actual deploys (use platform-metadata-deploy) or destructive changes (use platform-destructive-deploy).
Author and review GitHub Actions workflow YAML safely so syntactically-valid YAML can't ship a workflow that GitHub Actions refuses to run. USE FOR: editing, adding, or reviewing any file under .github/workflows/, writing run-name/name/if/env/run values that contain ${{ }} expressions, diagnosing a run that fails with 'This run likely failed because of a workflow file issue' and no jobs starting, deciding when a workflow scalar must be quoted, validating workflows with actionlint. DO NOT USE FOR: authoring application YAML unrelated to GitHub Actions, Azure Pipelines, GitLab CI, or non-workflow YAML. SCOPE: this skill covers *syntactic/structural* correctness of workflow YAML (quoting, parsing, actionlint); for *semantic and functional* workflow design (what a workflow should do, agentic-workflow behavior), see .github/agents/agentic-workflows.agent.md — the two are complementary. INVOKES: actionlint (downloaded pinned binary) plus git/grep for inspection.
Use this skill when working with the GitLab MCP server tools for merge requests, issues, repositories, pipelines, work items, variables, dependency proxy, vulnerabilities, webhooks, search, CI catalog, and related GitLab workflows.
Draft a CHANGELOG.md release entry in an emoji-driven format for every PR merged since the last release, then delegate to om-auto-create-pr so it lands as a docs PR against the configured base branch. Honors the Supersede Credit Rule and verifies every credit against commit authorship, so carry-forwards and umbrella merges credit the contributor rather than the merger. Use at release time.
AWS-curated copy-paste prompts for AI coding agents (MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly detection, GPU quota requests, EKS deployment, Well-Architected review, etc.) plus downloadable installable agents (Multi-Account Transition Advisor, Bill Shock Preventer, Service Quota Agent, Bedrock Model Availability Agent, AWS DB Advisor). Use when the user asks for a prompt to do X on AWS, wants an installable agent for multi-account / cost monitoring / quota management / Bedrock model availability / database selection, or asks how to use AWS prompts. For migration intent (GCP to AWS, OpenAI/Gemini to Bedrock), route to the migration-to-aws skill. Do not use for: factual AWS Activate / programs / credits questions, learn articles, sample architectures, or for prompts that are not in the bundled `references/prompt-library/` tree.
Manage Coralogix SLO (Service Level Objective) definitions with the `cx slos` CLI — list and inspect SLOs, check whether targets and error budgets are healthy, and create, update, or delete SLO definitions from JSON. Use when the user asks to "list SLOs", "check SLO status", "is an SLO breaching", "error budget", "create an SLO", "update an SLO", "delete an SLO", or "service level objective".
Configures GKE Backup Plans and restore workflows. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.
Sets up GitHub repositories, links Vercel projects, and collects credentials via a secure local web form. Installs environment variables directly into Vercel and GitHub without shell leakage.
Create and manage Cargo alerts — scheduled threshold checks that watch workflow telemetry (spans, runs, records), a storage model's health, or an arbitrary SQL query, and fire actions (a connector, tool, or agent run) when a metric breaches. Use when the user wants to be notified about error-rate spikes, cost blowouts, slow nodes, stalled syncs, stale or empty models, a workflow that stopped running (dead-man's switch), or any "alert me when <metric> crosses <value>" monitoring; and to list, preview, update, or inspect the firing history of those alerts.