'sweep' 검색 결과

ClawSweeper로 OpenClaw의 이슈와 PR을 점검합니다. 보고서 확인, 수정 작업 생성, GitHub Actions 조사와 권한 및 검증 조건에 따른 자동 수정·병합을 지원합니다.

• 이슈와 PR 점검 보고서를 확인할 때
• 기존 보고서로 수정 작업을 만들 때
• GitHub Actions 실패를 조사할 때

Maintain Kiln’s list of large language models by discovering new releases, testing provider access, and marking unavailable entries as deprecated. Prepare pull requests, report unresolved issues, and check whether the updated list needs publication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run the scheduled model sweep manually
• Add new models and test provider access
• Mark unavailable model entries as deprecated

Orchestrate a whole-registry sweep of Gaia — fan out 13 parallel audit agents across every skill, run adversarial verification, surface Semantic Fusion candidates, propose new generic skill references, and synthesize a publish-ready HTML report under docs/meta/reports/. Use this skill for broad, systemic analysis across many skills at once: "run a meta sweep", "sweep the meta", "full meta audit", "audit the whole registry against META.md", "widespread nomenclature issues", "find all skills missing a GitHub link", "produce a meta report", "check for evidence type mismatches across the registry", "find skills that document a third-party tool with no attribution", or explicitly types /gaia-meta-sweep. This is the registry-wide macro companion to /gaia-meta-audit (a prioritized queue, single-pass) and /gaia-audit (fixes one skill). Use it when you need the full surface — 13 audit dimensions, adversarial verification, fusion proposals, and a durable findings artifact — not just a queue.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the "get dependencies current" flow for this monorepo — sweep for available updates, triage into safe / deliberate / wait buckets, bump the pnpm catalog, and prove it with the typecheck + e2e gate. Use when asked to "update dependencies", "are we on the latest", "do the quarterly sweep", "bump deps", or when the recurring sweep ticket comes due. We run NO update bot on purpose (#141) — this skill IS the update process.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Sweeps a SharePoint library listing (an export or a listing the agent can reach, with file name, link, review-date column and owner column) for documents past their review date and returns a dated DRAFT review sweep report (Overdue, Due soon, No review date, Summary) plus one ready-to-paste reminder per document owner for the user to send. Never changes metadata, sends a message or invents a document, date or owner. Use when the user asks to "find the documents past their review date", "run the review sweep on the policies library", "which documents are overdue for review", "audit the review dates in this library export" or "draft reminders to owners about stale documents". Do not use for duplicate, conflict and ownership checks across knowledge files, use knowledge-base-hygiene-review instead; for gaps in an engineering deliverables register, use master-document-register-check. Drafts for human review; never approves, authorises or signs off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

コードベースの規模に応じた目標値計算、倍増エスカレーション、領域追跡、最終検証を備えた体系的なバグスウィープ。/bugsweep 実行時や体系的なバグ調査が要求された場合に使用します。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Systematic bug sweep with a codebase-scaled target value, doubling escalation, area tracking, and final verification. Use on /bugsweep or whenever the user requests a systematic bug pass.

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Weekly sweep of ALL transcript-bearing spoken events (earnings calls, conference firesides, CMDs, investor days, AGMs, investor updates) for every active thesis, via the Quartr watchlist. Produces a triage digest in Daily Intel/ flagging thesis-touching mentions and recommending deep reads. Use when user says "event sweep", "what did my companies say this week", "conference sweep", or on the weekly schedule. Also `--setup` (build/rebuild the Quartr watchlist from active theses) and `[N]` (window override in days, default 8).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Repair confirmed failures in CI, the automated build and test process, starting with the base branch. Then prepare affected pull requests individually, recording checks for the exact code candidate and unresolved issues for owner review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reproduce and repair CI failures on the base branch
• Investigate affected pull requests one at a time
• Verify required checks for the exact code candidate

Create a 12-second title animation in HyperFrames, where sweeping leaves reveal two headlines. Customize typography, leaf counts, sweep speed, background color, and the breeze moving the leaves that remain on the text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a nature-themed video opening
• Reveal two headlines in sequence
• Adjust leaf movement to suit a title

Use W&B to record machine learning experiments, visualize training, and compare results. The skill also covers automated searches for training settings and version tracking for datasets and models, helping teams share experiments and trace their inputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Logging training metrics and viewing progress in real time
• Comparing experiments with different training settings
• Searching automatically for better training settings

Investigate hidden attacker activity using focused hypotheses, indicators of compromise such as malicious domains, and statistical checks on logs. Rank investigation priorities, generate indicator sweep targets, and flag unusual behavior for human review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prioritizing threat-hunting hypotheses
• Generating log sweep targets from compromise indicators
• Finding unusual activity against historical baselines

Collect new feedback from configured Slack and GitHub Issues sources, acknowledge receipt, analyze recordings, and verify claimed fixes against the default branch. Combine unresolved items into a rolling plan ready for the lfg workflow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Collecting feedback from Slack and GitHub Issues
• Analyzing recordings attached to feedback
• Verifying that reported fixes were merged

Set up W&B to record machine learning metrics and settings, visualize training progress, and compare experiments. Includes automated searches for training settings, version tracking for datasets and models, and shared reports for team collaboration.

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• Recording and visualizing training metrics
• Comparing experiments with different training settings
• Automatically searching for better training settings

Run local ClawSweeper exact-item or committed-range reviews without GitHub mutation.

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Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up the whole project", or asks for a single command that both diagnoses and remediates quality problems. Do NOT trigger for: read-only audits or health reports where the user only wants findings without code changes; single-dimension reviews (use the focused skill instead: brooks-review / brooks-audit / brooks-debt / brooks-test); server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use this skill to run multiple Simulink simulations in parallel with parsim, batchsim, and DesignStudy. TRIGGER when: user asks for parameter sweep, sweeping/varying parameters across simulations, Monte Carlo study, batch simulation, running multiple simulations, parallel simulations, large-scale multiple simulations, any task involving repeated simulations with different parameter values, user mentions having an existing script/function for parameter sweeps, or user wants to migrate from parfor/set_param/for-loop patterns to recommended workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Walk through a live web app AS a real user to find usability + behavioural bugs that static reviews miss. REQUIRES proof of interaction (typing, clicking, sending, observing) before any verdict — a sweep that didn't interact terminates with verdict 'Incomplete'. Walks threads, exercises every element, runs the multi-pane stress matrix, visual polish sweep, component perfection checklist, automated a11y (axe-core), pragmatic performance budget (LCP/CLS/INP), scenario battery (11 scenarios), and stress recipes including the real-flavour data battery. Hard gates: console errors/warnings = 0, network 5xx = 0, layout collapse = 0, axe Critical/Serious = 0, perf budget green. Audit-the-audit meta-check rejects rushed reports. Each finding has reproduction steps, evidence path, and suspected code location. Trigger with 'ux audit', 'walkthrough', 'qa sweep', 'audit the app', 'dogfood this', 'check all pages', 'find what's broken', 'stress the UI'.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Inspect and manually purge the Soniox artifacts — transcriptions and uploaded audio files — that offline transcription leaves behind, on dev or prod. Use when offline transcription silently stops working, when Soniox answers 429 `limit_exceeded`, when `SonioxTranscriberTest.OfflineTranscribeWorks` and `CleanerDeletesEnqueuedArtifacts` fail together, or when the user says "sweep Soniox", "soniox/sonoix sweep", "sonoix swipe", "purge Soniox", "check Soniox files", or "is Soniox at the cap".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

コードベースの不要なフォールバック・互換性コード・デッドコードを 3つの専門エージェント（scanner + historian + verifier）が協調して検出・安全性検証する監査スキル。 scanner が自律探索で候補を発見し、historian が git 履歴から時間軸の文脈を付与し、 verifier が「消してデグレしないか」を検証する。任意のリポジトリで実行可能。 Use when: コードのクリーンアップをしたい、技術的負債を可視化したい、 不要な互換性コードや deprecated コードを探したい、 リリース前に dead code を確認したい。 Triggers: "cruft", "code sweep", "dead code", "デッドコード", "不要なコード", "互換性コード", "fallback", "フォールバック", "deprecated", "技術的負債", "code audit", "コード監査", "cleanup", "クリーンアップ", "TODO整理"

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Sweep a PR's automated + human review comments and act on them — especially for material (large / logic-bearing) PRs. Handles "sweep the PR comments", "check PR review feedback", "address review comments", "did the bots flag anything", and the pre-/post-merge review pass on any non-trivial PR.

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系统化 Bug 扫荡工作流，包含基于代码库规模的目标值计算、翻倍升级机制、区域追踪及最终验证。适用于执行 /bugsweep 或用户要求进行系统化 Bug 排查时。

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Систематический поиск багов с целевым значением, масштабируемым по размеру кодовой базы, удвоением при эскалации, отслеживанием областей и финальной верификацией. Используйте при вызове /bugsweep или по запросу систематической проверки кода.

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Barrido sistemático de errores con un valor objetivo escalado a la base de código, escalado por duplicación, seguimiento de áreas y verificación final. Se utiliza al ejecutar /bugsweep o cuando el usuario solicita una revisión sistemática de errores.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.