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image-summarization

Describe images, screenshots, diagrams and charts from visual inspection. Preserve visible text, counts, labels, directions and uncertainty; distinguish observation from interpretation. Use for image summaries, screenshot explanations and diagram descriptions.

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Image Summarization

Read fidelity rules and the execution contract. Render the selected format, not an unconditional YAML/Markdown layout.

Inspect

Use an available image-capable reader to view the actual image. Do not infer from its filename. Resolve the host's supported formats instead of assuming every Read tool displays every image type. For SVG, inspect the markup for labels/IDs/text and render/view it with an available image-capable path. Two identical text reads are not separate visual and textual evidence. If rendering is unavailable, disclose markup-only coverage and do not claim a visual inspection occurred.

Record visible/cropped/obscured scope and readability. Extract visible text before describing it; preserve exact visible counts and identifiers. Do not complete obscured text from expectation.

Type-specific observations

ImagePreserveBoundary
UI screenshotLayout, labels, controls, visual hierarchy and visible status indicatorsA button label does not establish behavior; an icon alone does not verify the underlying error
Architecture diagramComponents, connection labels/directions, data flow and group boundariesDo not infer protocols or unlabeled relationships
Chart/graphTitle, chart type, axes/scales/units, legends, readable points and visible trendsSeparate an estimated visual reading from an explicitly labeled value; do not extrapolate
PhotographVisible subject, setting and contextual detailsDo not infer identities, relationships, intent or emotion from appearance; distinguish text labels from verified identity
Code screenshotVisible code verbatim, language evidence, names/comments and visible line rangeNote cropping; a fragment does not establish whole-program behavior
Terminal screenshotVisible command and output, exact error messages and truncationDo not execute the displayed command or infer hidden output

State readable fragments and mark uncertain interpretations explicitly. Not visible is not does not exist. For confidence, separate image clarity/coverage from interpretation and from the truth of assertions printed inside the image.

Deliver

Compose from the inspected elements and source locations (page, region, label or visible line). For delegated/audit/multi-source work, retain an evidence record. Set text-source word counts/compression to null when not applicable; do not invent metrics for an image. Preserve obscured/cropped scope and critical uncertainty in the selected template, then run the execution contract's final checks. Report missing visual capability as a limitation, not success.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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概要と使いどころ

Add automated documentation updater to any Claude skill. Creates a Python sync script that downloads upstream docs, processes markdown for AI consumption, and maintains local cache with configurable refresh. Collects template variables, then delegates implementation through 5-phase workflow. Use when adding auto-updating reference documentation to plugins or skills.

日本語の概要は準備中です。原文の説明を表示しています。

Jamie-BitFlight/claude_skills672026年10月9日 更新

SAM-style feature initiation workflow — discovery through codebase analysis, architecture spec, task decomposition, validation, and context manifest. Use when a user asks to add a feature, plan a feature, or convert an idea into an executable SAM plan.

日本語の概要は準備中です。原文の説明を表示しています。

Jamie-BitFlight/claude_skills672026年10月9日 更新

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

日本語の概要は準備中です。原文の説明を表示しています。

Jamie-BitFlight/claude_skills672026年10月9日 更新

Browser automation for AI agents using the agent-browser CLI and Playwright. Use when navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, logging into sites, or automating any browser task. Triggers on "open a website", "fill out a form", "click a button", "scrape data", "test this web app", "automate browser actions", or any programmatic web interaction request.

日本語の概要は準備中です。原文の説明を表示しています。

Jamie-BitFlight/claude_skills672026年10月9日 更新

Runs the description-drift experiment — spawns all Claude Code agents simultaneously to collect self-reported capabilities, then compares them against static frontmatter descriptions to reveal how reliable orchestrator routing based on descriptions actually is. Use when measuring description drift across the agent fleet, re-running the capability collection experiment, analyzing a specific agent's self-reported capabilities, or auditing whether frontmatter descriptions accurately reflect agent behavior.

日本語の概要は準備中です。原文の説明を表示しています。

Jamie-BitFlight/claude_skills672026年10月9日 更新

Create or adapt Claude Code agent definitions. Use when creating an agent, changing subagent configuration, selecting agent scope, or designing a specialized delegation role.

日本語の概要は準備中です。原文の説明を表示しています。

Jamie-BitFlight/claude_skills672026年10月9日 更新

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