본문으로 건너뛰기
cccskills
무료GitHub에 공개

circleci-automation

Automate CircleCI tasks via Rube MCP (Composio): trigger pipelines, monitor workflows/jobs, retrieve artifacts and test metadata. Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md6.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

CircleCI Automation via Rube MCP

Automate CircleCI CI/CD operations through Composio's CircleCI toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/circleci

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active CircleCI connection via RUBE_MANAGE_CONNECTIONS with toolkit circleci
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit circleci
  3. If connection is not ACTIVE, follow the returned auth link to complete CircleCI authentication
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Trigger a Pipeline

When to use: User wants to start a new CI/CD pipeline run

Tool sequence:

  1. CIRCLECI_TRIGGER_PIPELINE - Trigger a new pipeline on a project [Required]
  2. CIRCLECI_LIST_WORKFLOWS_BY_PIPELINE_ID - Monitor resulting workflows [Optional]

Key parameters:

  • project_slug: Project identifier in format gh/org/repo or bb/org/repo
  • branch: Git branch to run the pipeline on
  • tag: Git tag to run the pipeline on (mutually exclusive with branch)
  • parameters: Pipeline parameter key-value pairs

Pitfalls:

  • project_slug format is {vcs}/{org}/{repo} (e.g., gh/myorg/myrepo)
  • branch and tag are mutually exclusive; providing both causes an error
  • Pipeline parameters must match those defined in .circleci/config.yml
  • Triggering returns a pipeline ID; workflows start asynchronously

2. Monitor Pipelines and Workflows

When to use: User wants to check the status of pipelines or workflows

Tool sequence:

  1. CIRCLECI_LIST_PIPELINES_FOR_PROJECT - List recent pipelines for a project [Required]
  2. CIRCLECI_LIST_WORKFLOWS_BY_PIPELINE_ID - List workflows within a pipeline [Required]
  3. CIRCLECI_GET_PIPELINE_CONFIG - View the pipeline configuration used [Optional]

Key parameters:

  • project_slug: Project identifier in {vcs}/{org}/{repo} format
  • pipeline_id: UUID of a specific pipeline
  • branch: Filter pipelines by branch name
  • page_token: Pagination cursor for next page of results

Pitfalls:

  • Pipeline IDs are UUIDs, not numeric IDs
  • Workflows inherit the pipeline ID; a single pipeline can have multiple workflows
  • Workflow states include: success, running, not_run, failed, error, failing, on_hold, canceled, unauthorized
  • page_token is returned in responses for pagination; continue until absent

3. Inspect Job Details

When to use: User wants to drill into a specific job's execution details

Tool sequence:

  1. CIRCLECI_LIST_WORKFLOWS_BY_PIPELINE_ID - Find workflow containing the job [Prerequisite]
  2. CIRCLECI_GET_JOB_DETAILS - Get detailed job information [Required]

Key parameters:

  • project_slug: Project identifier
  • job_number: Numeric job number (not UUID)

Pitfalls:

  • Job numbers are integers, not UUIDs (unlike pipeline and workflow IDs)
  • Job details include executor type, parallelism, start/stop times, and status
  • Job statuses: success, running, not_run, failed, retried, timedout, infrastructure_fail, canceled

4. Retrieve Build Artifacts

When to use: User wants to download or list artifacts produced by a job

Tool sequence:

  1. CIRCLECI_GET_JOB_DETAILS - Confirm job completed successfully [Prerequisite]
  2. CIRCLECI_GET_JOB_ARTIFACTS - List all artifacts from the job [Required]

Key parameters:

  • project_slug: Project identifier
  • job_number: Numeric job number

Pitfalls:

  • Artifacts are only available after job completion
  • Each artifact has a path and url for download
  • Artifact URLs may require authentication headers to download
  • Large artifacts may have download size limits

5. Review Test Results

When to use: User wants to check test outcomes for a specific job

Tool sequence:

  1. CIRCLECI_GET_JOB_DETAILS - Verify job ran tests [Prerequisite]
  2. CIRCLECI_GET_TEST_METADATA - Retrieve test results and metadata [Required]

Key parameters:

  • project_slug: Project identifier
  • job_number: Numeric job number

Pitfalls:

  • Test metadata requires the job to have uploaded test results (JUnit XML format)
  • If no test results were uploaded, the response will be empty
  • Test metadata includes classname, name, result, message, and run_time fields
  • Failed tests include failure messages in the message field

Common Patterns

Project Slug Format

Format: {vcs_type}/{org_name}/{repo_name}
- GitHub:    gh/myorg/myrepo
- Bitbucket: bb/myorg/myrepo

Pipeline -> Workflow -> Job Hierarchy

1. Call CIRCLECI_LIST_PIPELINES_FOR_PROJECT to get pipeline IDs
2. Call CIRCLECI_LIST_WORKFLOWS_BY_PIPELINE_ID with pipeline_id
3. Extract job numbers from workflow details
4. Call CIRCLECI_GET_JOB_DETAILS with job_number

Pagination

  • Check response for next_page_token field
  • Pass token as page_token in next request
  • Continue until next_page_token is absent or null

Known Pitfalls

ID Formats:

  • Pipeline IDs: UUIDs (e.g., 5034460f-c7c4-4c43-9457-de07e2029e7b)
  • Workflow IDs: UUIDs
  • Job numbers: Integers (e.g., 123)
  • Do NOT mix up UUIDs and integers between different endpoints

Project Slugs:

  • Must include VCS prefix: gh/ for GitHub, bb/ for Bitbucket
  • Organization and repo names are case-sensitive
  • Incorrect slug format causes 404 errors

Rate Limits:

  • CircleCI API has per-endpoint rate limits
  • Implement exponential backoff on 429 responses
  • Avoid rapid polling; use reasonable intervals (5-10 seconds)

Quick Reference

TaskTool SlugKey Params
Trigger pipelineCIRCLECI_TRIGGER_PIPELINEproject_slug, branch, parameters
List pipelinesCIRCLECI_LIST_PIPELINES_FOR_PROJECTproject_slug, branch
List workflowsCIRCLECI_LIST_WORKFLOWS_BY_PIPELINE_IDpipeline_id
Get pipeline configCIRCLECI_GET_PIPELINE_CONFIGpipeline_id
Get job detailsCIRCLECI_GET_JOB_DETAILSproject_slug, job_number
Get job artifactsCIRCLECI_GET_JOB_ARTIFACTSproject_slug, job_number
Get test metadataCIRCLECI_GET_TEST_METADATAproject_slug, job_number

Powered by Composio

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Handle ActiveCampaign contact and marketing tasks through Rube MCP, a connection for agent tools. Find or create contacts, manage tags and subscriptions, enroll contacts in existing automated workflows, and create follow-up tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Finding or registering contacts
  • Adding or removing contact tags
  • Subscribing contacts to lists or unsubscribing them
davepoon/buildwithclaude3.7천2026년 10월 20일 업데이트

Research competitors’ live Meta and Google ads to identify opening hooks, offers, calls to action, and landing pages. Receive a sourced creative brief and up to three test ideas adapted to your product.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Find angles for new ad copy
  • Plan creative tests using competitor ads
  • Choose a landing page message
davepoon/buildwithclaude3.7천2026년 10월 20일 업데이트

Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

davepoon/buildwithclaude3.7천2026년 10월 20일 업데이트

Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

davepoon/buildwithclaude3.7천2026년 10월 20일 업데이트

Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

davepoon/buildwithclaude3.7천2026년 10월 20일 업데이트

Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

davepoon/buildwithclaude3.7천2026년 10월 20일 업데이트

davepoon의 스킬 모두 보기

이 스킬의 문제 신고