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概要と使いどころ
Diagnose stalled, looping, or over-recovered Paperclip issue trees and propose a no-code product-rule plan. Use when asked why work stopped, why it looped, or how to prevent a tree from going too deep.
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。
A single-frame motion-design composition with looping CSS animations — rotating type ring, animated globe, ticking timer, parallax labels. Renders as a hero video poster you can hand straight to HyperFrames or any keyframe-based exporter. Use when the brief asks for "motion design", "animated hero", "loop", "video poster", "title card", or pairs Open Claude Design with HyperFrames for a kinetic export.
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。
Iterative design-to-code feedback loop. Critique → adjust → ship cycle for tightening visual fidelity between brief and built UI.
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。
Run Ruflo background workers using Claude Code native /loop scheduling
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。
Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake
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。
Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace.
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。
构建或修复 Agent 迭代循环时使用——解决 Agent 过早宣称完成、活干到一半就停、假成功、循环停不下来等问题，设计验证器与终止条件，实现提议者-审核者（Proposer-Reviewer）双 Agent 循环。覆盖过早终止三种形态、验证器是循环瓶颈的原则、LoopX 持久控制面、LongHorizon-Harness 的 MEA 循环、提议者-审核者最小不变量（审核者读独立证据、退回给可定位修复条件）。
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。
Copilot left 14 review comments on your PR — half are nits. Hours of fix → reply → resolve → re-request, and each round lands MORE comments. This skill runs loop engineering: auto-triggers Copilot Code Review via GraphQL (no @copilot mention), triages every open thread (Copilot, humans, advanced-security) with a fix / decline / escalate rubric, dispatches parallel fix sub-agents that obey the repo build/test/lint conventions, commits per iteration, replies+resolves citing the pushed SHA, then re-triggers until HEAD is reviewed with zero threads awaiting the agent's reply (remaining open threads are explicit hand-offs to the human — escalated declines, design tradeoffs). You merge a clean PR; the bot runs it. Trigger phrases: "address copilot comments", "run a copilot review loop", "fix this PR", "iterate on copilot feedback". Repo-agnostic, gh CLI + PowerShell. Full autopilot needs repo Triage/Write; external PR authors get single-iteration mode plus manual re-trigger (UI 🔄 or substantive-commit push).
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 building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.
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。
This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.
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。
Phase 3 of building a Claude Managed Agent — the bounded grade→iterate loop. Define a CMA outcome (a required markdown rubric graded by an isolated grader), read each verdict, decide the next move (sharpen / re-run / promote to schedule), and once a version passes, run held-back eval cases in parallel. Use when the user says "grade my agent", "make it pass the rubric", "iterate until it's good", "is it good enough", or when the orchestrator routes phase=grade-iterate. outcome_builder.py builds the user.define_outcome payload (rubric required, max_iterations clamped 1..20 — never unbounded); verdict_reader.py reads the grader result and recommends the next move; eval_scaffold.py generates held-back cases + a parallel run plan (capped at the 25-thread CMA ceiling). Distinct from stage-launch (first launch) and run-without-you (scheduling).
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。
This skill should be used when a model gets read-write control over its own live context window instead of a harness-scheduled compaction policy: the context exposed as an editable file the model rewrites with code tools, model-driven eviction and in-place updates, the harness invariants that keep self-editing safe (pinned prefix, edit gate, edit receipts, budget readouts, rollback on overflow), the prefix-cache cost of mid-context edits, and steering or training the model's own context-editing strategy. Route note content and fixed-threshold summarization to context-compression, cache-stable layout under harness control to context-optimization, file offloading to filesystem-context, and loop governance to self-improvement-loops.
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。
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says \"DSE\", \"design space exploration\", \"sweep parameters\", \"optimize\", \"find best config\", or wants iterative parameter tuning.
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。
Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says "DSE", "design space exploration", "sweep parameters", "optimize", "find best config", or wants iterative parameter tuning.
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。
Autonomous multi-round research review loop. In Copilot CLI it defaults to the native complementary rubber-duck subagent with host-event model evidence; elsewhere it uses Codex, while explicit external reviewer overrides remain available. Implements fixes and re-reviews until a policy-approved positive assessment or max rounds is reached.
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。
MNN Vulkan 后端 kernel/算子性能优化与新特性集成。覆盖 benchmark 基线、kernel 优化迭代、集成验证全流程，以及 GLSL .comp + makeshader 双轨、conv1x1/attention dispatcher 多路径（coopMat/subgroup/nosubgroup）、cooperative matrix、packed weight 设计、pipeline cache、CPU 侧调度瓶颈、Adreno/Mali/Apple 多 vendor 真机验证等参考知识。
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。
Parse CI failures, identify failing job/step, classify as flake, regression, env, or config. Use in CI sweeper loops before any fix attempt.
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。
Scan package manifests and lockfiles for outdated packages and known CVEs. Groups updates by risk (patch, minor, major). Use in dependency sweeper loops.
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。
An advanced skill for L3 autonomous loops. When the token budget nears exhaustion, the agent analyzes its ROI and autonomously drafts a negotiation request for a budget increase rather than silently failing.
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。
Scan recent merges to main for follow-up cleanup: TODOs, deprecations, broken doc links, stale flags. Use in post-merge cleanup loops.
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。
Triage open pull requests for CI status, review comments, and merge readiness. Use in PR babysitter loops. Respects project review norms and required checks.
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。
Independent checker for release note drafts. Reviews accuracy against the changelog-scan data, tone, completeness, and flags breaking/security items. Use after draft-release-notes. Never let the drafter verify itself.
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。
Scan recent merges to main (and noteworthy direct commits) since a given window (last tag or date in state). Extract titles, labels, types, linked issues, and signals for breaking changes or security. Produces structured input for a release notes drafter. Use in changelog-drafter loops.
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。
Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern
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。