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Evaluates and implements age estimation and verification technologies for online services. Covers facial age estimation, digital ID verification, self-declaration with risk assessment, AI-based age estimation, and the accuracy versus privacy tradeoff. Includes ICO guidance and euCONSENT framework. Keywords: age verification, age estimation, facial analysis, digital ID, children, online safety.
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やりたいことを1行で言うと、B 型 loop engineering の 7 要素 (context / feedback / verification gate / termination / error handling / state / cost guard) を埋めた loop spec をコピペ可能な形で生成する。生成した spec は現行 Claude Code の実行プリミティブ (Workflow ツール / /loop skill / ralph-loop plugin / claude -p) に落とせる骨格になる (旧 `claude --goal` は廃止)。10 件 failure mode (F1-F10) の対策フックも自動挿入。Hybrid モード: 1 行入力 → デフォルト埋めで一発出力 → 「ここを調整したい」場所だけ短く聞き直す。Use when ユーザーが「loop を作りたい / loop-design / 自走ループ書いて / Workflow 用の spec 作って / 7 要素埋めて / verification gate ありで」と言ったとき、または `/loop-design` を実行したとき。Loop engineering の理論背景は Cards/loop-engineering-autonomous-agents、失敗モード対策は Cards/loop-failure-modes-mechanism-2026 を参照。
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在REGRESSION.md中整理模块依赖关系与验证命令，沿修改影响范围执行测试或数据核对，并以命令退出码报告结果，检查现有功能是否受到破坏。
在功能开发或重构后，分六步检查构建、类型、lint、测试、疑似秘密信息和代码差异，汇总通过情况及待修复问题，报告是否可以创建PR。
Organize a task into parallel work streams with clear dependencies, separate places for changes, and explicit checks. Batch independent reads and tests, coordinate concurrent work, and report completed or blocked tasks with verification results.
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Create and maintain a lightweight weekly editorial calendar based on company priorities. Connect company goals to publishable topics, with owners, status, and verification notes recorded alongside the planned content.
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Prepare completed changes for a GitHub pull request with organized commits, a clear title and description, verification evidence, screenshots for interface changes, and explicit replies to review comments through merge readiness.
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Guide a scoped coding task through specification, implementation, and review. Set acceptance criteria, verification checks, iteration limits, and approval gates, then correct identified gaps until the requirements pass or a stopping condition is reached.
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Manage coding work from issue intake through implementation, review, deployment, and acceptance checks. Track each completion requirement against fresh evidence, with defined retry limits and explicit escalation when progress needs human input.
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Solve competition mathematics problems and examine proofs through independent agents that actively look for gaps, counterexamples, and misused theorems. Produces a checked argument or clearly states what remains unresolved, with optional PDF output.
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Turn an understood task into an ordered implementation plan in Codewhale. Clarify the goal and constraints, identify which steps depend on others, and record verification methods, risks, and open questions before broader implementation begins.
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Learn how to check Claude Code tool calls against a policy and create digitally signed execution records. This walkthrough covers setup, offline verification, tamper demonstrations, and CI/CD integration before adopting the protect-mcp runtime plugin.
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Break a development task into small requirements with explicit acceptance criteria, then repeat implementation and verification while saving progress. Completion depends on evidence for each requirement and reviewer approval, with configurable reviewers and a final cleanup check.
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Use the Dial CLI to send and receive SMS, place AI voice calls, and manage real phone numbers. It explains workflows for waiting for verification codes, checking completed calls, and processing command results.
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Give selected NanoClaw agents access to Dial for sending SMS, making AI voice calls, and receiving verification codes. It installs the command-line tool and uses OneCLI to supply credentials and control which agents can use it.
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Prepare Python SDK releases by updating versions, package metadata, pinned dependencies, lockfiles, and build workflows. The skill covers release process changes and publication verification, helping agents handle packaging work within the repository’s release procedures.
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Implement Zoom webhooks, HTTP notifications sent when events occur, such as meetings starting or recordings becoming available. Use reference guidance for event selection, subscriptions, signature verification, endpoint validation, delivery handling, and retries.
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Write Workflow scripts that divide research, reviews, or migrations among agents. The reference explains parallel and staged processing, independent verification, failure handling, budgets, and resuming runs so the script has a clear execution structure.
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Run iterative development with repeated implementation and verification, using failure history to guide changes. When a verification command is configured, an independent hook checks completion after the agent's own tests, with pause and abort markers available.
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Develop mathematical proofs in Lean, a system that checks formal proofs, continue unfinished projects, or audit existing results. Check that the theorem matches the original claim, examine its assumptions, and prepare sources and commands for reproduction.
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Turn a development phase into an actionable PLAN.md through research, planning, and verification. The skill can incorporate requirements or recorded design decisions, then check and revise the plan before presenting the results.
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Extract decisions, lessons, recurring patterns, and unexpected findings from the artifacts of a completed development phase. It organizes these learnings into a LEARNINGS.md file using planning, summary, verification, acceptance testing, and state documents.
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Audit a development milestone before archiving it by checking requirements, connections between phases, and complete user flows. It reads existing verification reports and gathers technical debt and deferred gaps to assess whether the original completion criteria were met.
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Guide a development team from an assigned user outcome through implementation, testing, and handoff. It covers reproducing defects, checking behavior against requirements, involving design when needed, and reporting the exact changes, verification results, and remaining uncertainty.
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