875 skills · sorted by relevance
Create a substantial technical manual for one exact system version. Organize authoritative sources, record offline inputs and outputs, explain behavior with figures, and audit the text and supporting evidence for consistency.
Organize manual testing in TestDino by browsing, creating, and updating test cases and suites, which group related cases. Maintain steps and preconditions, filter existing cases, and update selected fields while preserving other details.
Plan and run manual tests of the project's running app. Runs a session in one of five modes: exploratory, verification, smoke, assessment (UX, localization, accessibility, improvement review), or AI probe. Also writes a manual test plan that holds only what automated tests cannot judge. Use whenever the user asks, in any language, for something to be tested by hand or for a manual test plan — "manual test", "exploratory test", "bug hunt", "verify the bug fix", "smoke test", "QA this screen", "review this screen's UX", "what would you improve", "check the localized copy", "test the AI agent's answers", "write manual test cases", "kịch bản test manual" — or assigns a test design, test plan or test-case IDs to execute by hand. Not for writing automated tests.
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Produce a plain-language manual test plan from the context supplied to it — an executive summary, a high-level list of named tests, and a detail section per test with the steps a person follows by hand and the outcomes they should expect. Use when you want to create, draft, generate, or outline a manual test plan, manual QA steps, hands-on verification steps, or an acceptance walkthrough for a feature, change, branch, plan, or PR. When the plan holds more than five tests and at least two natural categories emerge, both the test list and the detail sections are organized under plain-language categories. When nothing in the supplied context can be manually tested, it says so and asks for more context instead of producing a document. Does not analyze code for automated test coverage gaps — use automated-test-planning. Does not write test code — use tdd. Does not review code quality — use code-review. Does not stress-test an existing plan — use iterative-plan-review.
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業務システムの操作手順書を構造化して作成するスキル。STEPフォーマット （Specific/Target/Expected/Proceed）による手順記述、ANSI Z535準拠の 注意・警告分類、トラブルシューティングガイドを含む包括的な操作マニュアルを 生成する。Use when creating operations manuals, standard operating procedures (SOP), user guides, or system operation guides. Triggers: "operations manual", "操作マニュアル", "手順書作成", "SOP", "操作手順", "standard operating procedure", "ユーザーガイド", "作業手順書", "運用マニュアル"
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Create static SVG diagrams, scalable images for lessons, READMEs, and manuals. It uses real system names, nine diagram types, and consistent colors and arrows, with checks for readable labels, accessible descriptions, and valid markup.
Creates two HTML test pages for comparing a released Handsontable version with a local build. Matching configurations and reproduction steps help reviewers visually check bugs, fixes, and new features in isolation.
Manage manual test runs in TestDino, from finding or creating a run for a release to inspecting its cases and summary statistics. Assign individual cases and update results or elapsed time using recognizable run and case IDs.
Test Discord bot access, message operations, and OpenClaw responses using leased QA bots. Collect API and Gateway evidence for replies, files, threads, reactions, streaming, and typing, while identifying interactions that require manual testing.
Generate an interactive bash script that guides people through manual service setup. It opens relevant pages, explains what to click, collects credentials, and saves values to .env files or GitHub secrets with stage confirmations.
Connect a remote Hermes gateway to MCP servers that require OAuth, a browser-based authorization process. The skill covers dashboard access, manual token setup when needed, and diagnosis of expired tokens or revoked sessions.
Create a draft pull request for reviewing Storybook changes. Prepare a title, required labels, and a description using the repository template, including verified manual testing steps that another maintainer can follow.
Apply shared visual and writing rules to course pages, figures, and manuals. Check colors, fonts, labels, layouts, plain technical English, dark themes, keyboard focus, touch targets, and reduced-motion behavior against defined reference values.
Check Codewhale release readiness through ordered tests, builds, version checks, and manual terminal checks. Record command results and observed behavior, including responsiveness, route isolation, and follow-up input handling, while explicitly identifying any skipped checks.
Manually sync OpenClaw chat transcripts to OpenViking and search stored memories using explicit commands. Receive a sync summary or relevant memory entries while leaving the OpenClaw contextEngine slot available for its existing use.
Turn feature requirements into test plans, step-by-step manual tests, regression suites for checking existing features, and reproducible bug reports. The skill also supports comparing implemented interfaces with Figma designs and documenting visual differences.
Maintain an ongoing social content calendar, learn the owner's writing style, and prepare Canva graphics and captions. Adapt approved content across channels and stage posts for review, with manual posting plans available when connectors are absent.
Review logs and source files from a completed manual example run. Check that results are current and complete, verify intended behavior beyond successful exit codes, and distinguish product defects from environment or credential problems.
Create a game development test plan for a sprint, feature, or individual task. Classify the work and specify automated tests, manual checks, basic functionality checks, and playtest needs from documented requirements.
Learn Cloud Build fundamentals and set up a basic build trigger for source code changes. Covers project preparation, configuration files, manual trigger runs, and checking build history and logs in Google Cloud.
Add DeepEval tracing to Python AI applications so execution steps appear in Confident AI. Choose a supported integration or manual @observe instrumentation, then capture inputs, outputs, step types, tags, and metadata.
Manage mathematical proof projects across Codex runs, keeping sources, attempts, and unresolved steps organized. Prepare manual GPT Pro handoffs for difficult steps, then check returned arguments and edit the proof for clarity.
Get critical feedback on research ideas, papers, and experimental results from an external AI reviewer. Repeated discussions help identify unsupported claims, plan missing experiments, and document agreed improvements with priorities and estimated computing costs.
Manually drive a vehicle in CARLA, set a target speed, operate lights and doors, and adjust mass or drag. You can also inspect the command topics used to control the main vehicle through ROS 2.