القائمة
Debugs and triages Semaphore CI pipelines and jobs with sem-ai first, falling back to legacy sem only for interactive attach/debug shells. Use when CI is failing, flaky, stuck, queued, or needs logs, reruns, stops, or deployment-state inspection.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Cuts a new release of ai-sdk — creates a Linear issue, branches, bumps version, updates changelog, runs checks, commits, opens a PR, and returns to main. Merging the PR triggers CI to auto-tag. Use when the user wants to release a new version of the ai_sdk gem.
References Semaphore's sem-ai CLI command set, output formats, safety defaults, and legacy sem replacement patterns. Use when exact sem-ai commands or flags are needed before inspecting or mutating Semaphore state.
Find an unreserved staging namespace and promote a Semaphore pipeline into it. Use when a user asks to pick a free `revNN`/`qaNN` server, trigger `Deploy to EKS staging`, or validate that promotion/deploy completed.
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
Promote an Amadeus PR to the shared `data` staging namespace using Semaphore `Deploy to Staging`, then verify the SLSA-backed artifact flow, deployed image, and live log contract through Kubernetes.
Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.
استنادا إلى تصنيف SOC المهني
| name | semaphore-debugging |
| description | Debugs and triages Semaphore CI pipelines and jobs with sem-ai first, falling back to legacy sem only for interactive attach/debug shells. Use when CI is failing, flaky, stuck, queued, or needs logs, reruns, stops, or deployment-state inspection. |
Workflow for Semaphore CI incidents. Prefer sem-ai for structured inspection
and mutation. Use legacy sem only when sem-ai has no equivalent, mainly
interactive job shells.
sem-ai connect simplepractice.semaphoreci.com "$SEMAPHORE_API_TOKEN"
sem-ai context show
sem-ai diagnose <workflow-id>
If the workflow id is unknown:
sem-ai status --project simplepractice --branch <branch>
sem-ai workflow list --project simplepractice --branch <branch>
sem-ai diagnose <workflow-id>
sem-ai workflow show <workflow-id>
sem-ai pipeline show <pipeline-id>
sem-ai job log <job-id>
sem-ai test summary --pipeline <pipeline-id>
sem-ai pipeline topology <pipeline-id>
sem-ai test report --pipeline <pipeline-id>
sem-ai blast-radius <pipeline-id>
sem-ai critical-path <pipeline-id>
sem-ai job stop <job-id>
sem-ai pipeline stop <pipeline-id>
sem-ai pipeline rebuild <pipeline-id>
sem-ai workflow rerun <workflow-id>
sem-ai rerun-failed <pipeline-id>
sem-ai watch <workflow-id>
Do not use sem get or sem logs by default. Use sem-ai workflow show,
sem-ai pipeline show, and sem-ai job log.
Use legacy sem only for interactive shells:
# Running jobs only.
sem attach <job-id>
# Finished jobs only; then source the reproduced command environment.
sem debug <job-id>
source ~/commands.sh
sem-ai defaults to JSON. Use --format table only for human scanning.--confirm; verify target and parameters first.sem-ai <command> --help or sem-ai discover before guessing flags..semaphore/ci.yml.semaphore/*.shscripts/*ci*Reference: https://docs.semaphore.io/reference/sem-ai-cli