「evidence」の検索結果

Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.

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。

Use when a campaign has ENDED and the team needs a structured retrospective — a scorecard against target, what worked, what did not, and why with evidence, surprises, process review, lessons written back into the playbook and Brand Hub, and action items with owners. Trigger on 'campaign retrospective', 'campaign retro', 'post-mortem', 'campaign debrief', 'what worked and what did not', 'the campaign is over, what did we learn'. Also use when a campaign underdelivered and the team is arguing about why. Not for — a periodic performance report, see `07-marketing-report-global`; diagnosing live numbers mid-flight, see `03-performance-eval-global`; the next period ads plan, see `57-next-ads-plan-global`.

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。

Execute the next TaskMaster task using the implementation plan with CDD verification. Picks the next ready task, matches it to the plan step, implements via a dispatched subagent, verifies subtasks with evidence, marks the task done, and loops until every task is complete. Wraps the TaskMaster next -> in-progress -> done lifecycle with CDD GREEN / RED / BLUE verification and the plugin's triple-verification rule. Autonomous by design — no user prompts inside the loop.

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。

Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.

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。

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

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Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.

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。

Investigate questions using high-trust primary sources and traceable citations. Use when the user asks for research, current documentation or API facts, source verification, or evidence-backed comparison.

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Analyze a codebase for high-leverage architectural improvements and explain evidence, tradeoffs, and next steps. Use explicitly for architecture audits or deep-module refactoring opportunities.

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。

Diagnose hard bugs and performance regressions with reproducible evidence, focused hypotheses, and proportional instrumentation. Use when something is broken, failing, throwing, intermittently wrong, or unexpectedly slow.

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。

Plan changes to this repository using its domain CLI, MCP boundaries, and harness validation evidence.

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。

Draft repository, issue and pull request work from supplied repository evidence without performing GitHub writes. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.

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。

Organize IP evidence, application drafts and portfolio questions for qualified review. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.

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。

Improve an explanation with a bounded critique-and-revision pass and unresolved-evidence notes. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.

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。

Develop an evidence based business plan spanning customers, product, operating costs, hiring and governance. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.

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。

Evaluate proposed repository harness changes with pinned Darwin tools and explicit evidence limits.

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。

Builds, hardens or reviews container images and local runtime packaging with startup and shutdown evidence; not remote deployment or host administration.

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。

Strict quality-first TDD specialist. Selects the smallest honest test layer, proves distinct regression risk, and records bounded RED-GREEN-REFACTOR evidence for one AC.

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。

Maps acceptance criteria to implementation evidence, tests, and scope creep. Use during review when a diff, PR, ticket, or story includes numbered ACs.

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。

Drives iOS/Android mobile devices via Appium MCP. Runs a preflight, picks local emulator/simulator/USB or a device cloud, captures screenshots/page source into a named evidence dir. Use for verifying mobile bugs, E2E tests, and navigating real device clouds (LambdaTest/BrowserStack).

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。

Standardizes token-efficient browser automation via playwright-cli, with Playwright MCP as the fallback driver. Runs a preflight, picks the driver rung, captures aria snapshots/console/screenshots into a named evidence dir. Use for web verification, navigation, and capturing snapshots/logs.

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。

Validates bounded cybersecurity exercise observations against approved scope, expected behavior, runtime controls, and redacted evidence. Use when performing safe offline validation or authorized runtime checks with explicit stop and status gates.

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。

Conducts hypothesis-driven, evidence-preserving threat hunts with bounded negative conclusions and telemetry-gap handling. Use for hunt hypotheses, scoped offline analysis, or analytic follow-up; not unscoped scanning, malware execution, or generic intelligence summaries.

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。

Right-size, ground, and gate SDLC decisions with SNC-sized depth, said-vs-assumed write-back, an evidence ledger, honest option cards, recorded approval, and self-review. Use when running brainstorm-feature, plan-feature, design-solution, or system-design-session.

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。

Review session corrections, trigger misses and recurring agent mistakes to propose targeted skill-library changes. Use for retrospective, rework or routing-gap analysis before registry edits; load +common/common-learning-log for redacted evidence.

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。