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Generate editorial cover images from article context. Use when user wants a cover image, hero image, or editorial illustration for an article or blog post. Not for table/diagram images (use table-image).
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | cover-image |
| description | Generate editorial cover images from article context. Use when user wants a cover image, hero image, or editorial illustration for an article or blog post. Not for table/diagram images (use table-image). |
| allowed-tools | ["Bash","Read"] |
| compatibility | Requires GEMINI_API_KEY or GOOGLE_API_KEY in environment. Uses ~/.claude/skills/_generate_image.py |
Generate editorial cover images using Gemini's image generation. Distill article content into a visual metaphor rendered as a hand-drawn sketch.
Read the article/context provided by the user. Identify the core concept, tension, or insight that could become a visual metaphor.
Build a prompt using this structure:
Black and white hand-drawn sketch, loose ink strokes, technical architectural drawing style.
[visual metaphor distilled from article context]. High contrast, minimalist, white background,
editorial tech illustration. --ar 16:9
Visual metaphor guidelines:
Present the crafted prompt to the user. Wait for confirmation before generating.
uv run ~/.claude/skills/_generate_image.py "<approved prompt>" --ar 16:9 -o cover.png
Report the saved file path and suggest reviewing the image.
Article about: "Why we migrated from monolith to microservices"
Prompt:
Black and white hand-drawn sketch, loose ink strokes, technical architectural drawing style.
A massive ancient stone building cracking apart, its fragments floating and reorganizing into
a constellation of small interconnected structures, linked by thin precise lines.
High contrast, minimalist, white background, editorial tech illustration. --ar 16:9
GEMINI_API_KEY or GOOGLE_API_KEY in environmentcover.png in current directory~/.claude/skills/_generate_image.pyExecution trace capture and token baselining. Use when user says trace, extract trace, count tokens, token baseline, or /harness-trace. Not for harness optimization (use harness-mechanic).
Release prep and tagging with pre-flight verification. Use when user says release, tag, ship it, push to production, create release, or bump version. Not for editing a version string outside a release, a lockfile or a changelog entry by hand, and not for reading what changed in a past release: those are ordinary edits, just do them.
Mine LEARNING.md retrospectives across all repos for recurring failure-modes, then propose harness changes (hooks, rules, skills, checklist items) with falsifiable change-contracts. Also runs the doc-gardening pass over the governance docs (stale rules, dead cross-references, skill-table drift). Use when user says learning loop, mine learnings, recurring failures, what should I fix in my process, cross-repo retrospective, doc gardening, stale docs, or run learning-loop. Runs on human schedule, never autonomously. Not for single-project retrospectives (use learning-docs) or trace/token analysis (use harness-mechanic).
Full contractor-mode loop: sub-protocols (LOCALIZE, BENCH-BASELINE, REPRODUCE, DRIFT), review routing by file pattern, blast radius, UAT, parallelism and effort caps, escalation, just-do-it, goal-backed runs. Load it to RUN that loop, once you have an approved plan and are entering step 1, or when a step needs its detail. It is a protocol, not a way to do the work: it never replaces the language, review or planning skill the task itself calls for, and a task small enough to just edit (SKIP_SET) needs none of it. The always-on spine lives in rules/orchestrator-protocol.md. Not for trace capture (harness-trace) or harness optimization (harness-mechanic).
Ruby on Rails with service-oriented architecture, Dry-validation, Sidekiq/Solid Queue, Hotwire. Use for Rails API, Rails services, Rails forms, RSpec, ActiveRecord, Rails migrations. Not for standalone Ruby gems (use ruby skill), and not for judging whether a migration is safe to run in production (that is the database-reviewer agent).
Get three independent second opinions (isolated Claude + isolated Gemini + isolated DeepSeek) on a problem Claude is analyzing. Use when user says second opinion, another perspective, challenge this approach, or asks gemini/deepseek about a decision, approach, or diagnosis. Also invoke on your own initiative, without being asked: on a complex task before planning, after 2 failed root-cause attempts, on a 🔴 decision (rewrite, core logic, security), or when the review loop is stuck below 80 after 2 fix rounds. Gathers context, writes a focused prompt, calls all reviewers in isolated Docker containers, and synthesizes all viewpoints. Not for reviewing code or changes, even phrased as 'ask gemini to review' (use gemini-review).