circleci-cli
$
npx mdskill add openai/plugins/circleci-cliExecute CircleCI commands to diagnose and manage pipelines.
- Authenticate, inspect status, rerun jobs, and validate configurations.
- Depends on CircleCI CLI tools and remote API access.
- Prioritizes read-only diagnostics before executing mutation commands.
- Delivers exact command results and actionable next steps.
SKILL.md
.github/skills/circleci-cliView on GitHub ↗
--- name: circleci-cli description: Operate and troubleshoot CircleCI using the CircleCI CLI. Use when users ask to authenticate CLI access, inspect pipeline/workflow/job status, validate configuration locally, rerun pipelines/jobs, trigger pipelines, or gather actionable diagnostics from CLI outputs. --- # CircleCI CLI ## Overview Use this skill when the fastest path is CircleCI CLI-driven operations rather than editing config first. Prioritize safe, read-first diagnostics, then run targeted mutating commands only after confirming scope. ## Inputs To Gather - Repository path and target branch - CircleCI project slug (if needed) - Whether objective is inspect, rerun, trigger, or validate - Required token/auth state and org permissions ## Workflow 1. Verify CLI and auth state. - Confirm `circleci` is installed and version is available. - Confirm token/auth before issuing remote CircleCI commands. 2. Run read-only diagnostics first. - Inspect available pipeline/project/trigger state and capture concrete identifiers. - Extract first failing scope and step details from supported command output before rerun/trigger actions. 3. Validate config locally when relevant. - Run config validation/processing commands before committing risky edits. 4. Run targeted mutation commands. - Rerun only required workflow/job scope. - Trigger pipelines with explicit parameters and branch context. 5. Report results and next action. - Provide exact command results, remaining blockers, and safest follow-up. ## Guardrails - Prefer read-only commands before rerun/trigger/cancel operations. - Confirm organization/project scope before mutating pipeline state. - Never print raw secret values from environment variables or tokens. - If permissions fail, report exact auth/scope gap and safest remediation. - Respect installed CLI capabilities and avoid inventing commands. - Do not use `circleci api`, `circleci workflow`, or other unavailable legacy commands unless `circleci help` confirms they exist. ## Installed CLI Compatibility For newer `circleci` builds that expose domain subcommands (for example `pipeline`, `project`, `trigger`) but not `api`: - Verify available commands first with `circleci help`. - Use only discovered subcommands from help output. - Prefer `circleci pipeline list|create|run` and `circleci trigger ...` for pipeline operations. - For cloud job logs, use supported platform tools (CircleCI app/UI or connected CircleCI MCP tooling) if the CLI does not expose a logs command. ## Output Contract Provide: 1. Commands run and purpose. 2. Key outputs (pipeline/workflow/job ids, status, failing step). 3. Actions taken (rerun/trigger/validate) and why. 4. Remaining blockers and next recommended CLI command.
More from openai/plugins
- accessibility-and-inclusive-visualizationMake data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.
- agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.
- agent-browser-verifyAutomated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass/fail before continuing.
- agents-sdkBuild AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
- ai-elementsAI Elements component library guidance — pre-built React components for AI interfaces built on shadcn/ui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.
- ai-gatewayVercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.
- ai-generation-persistenceAI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation
- ai-sdkVercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.
- aiq-deploy|
- aiq-research|