'slo' 검색 결과

Model-guided autonomous root-cause analysis over a UModel object-graph semantic layer. Use with `umodel-query` when diagnosing service degradation, SLO breach, latency/error spikes, incidents, outages, or questions like why a service is slow, degraded, erroring, or timing out. The skill guides evidence collection across object graph, metrics, logs, topology, runbooks, deployments, config changes, business traffic, and runtime capacity; it is especially useful for ruling out red herrings such as recent but unrelated deployments. Triggers: root cause, RCA, incident, SLO breach, outage, postmortem, latency spike, error spike, timeout, 根因分析, 故障排查, 告警定位, 为什么慢, SLO 击穿.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user wants to humanize text, trim slop, de-AI or de-slop writing, remove AI tells, fix robotic or ChatGPT-sounding prose, or make writing sound human and natural. Also run before delivering a CV, cover letter, email, report, or essay to be sent. Removes 71 documented AI-writing patterns with a local detector, preserves numbers, names and citations, and rebuilds toward a human voice rather than a flat husk. Mode-aware, so it never fabricates voice on factual content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Edit drafts into natural prose, inspect AI-sounding patterns, or review how a specified audience might respond passage by passage. Zero Slop runs inside the user's existing AI assistant with local tools that protect source details. Use for humanizing or de-slopping writing, polishing outward-facing prose, social drafts, final editorial checks, or an explicit simulated reader review. Preserve facts, voice and format; reader simulations are hypotheses, not human feedback.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Suede Slop Stop: Suede Labs context-aware anti-slop pass for finished prose. Find or remove generic filler, manufactured emphasis, false agency, formulaic structure, chat and draft residue, and formatting applied by rule, without flattening the author's voice. Use before copy, a README, an email, a social post, or a doc ships; after a long assisted-writing session; or for a findings-only slop audit. NOT FOR: writing new copy (use suede-copy); deciding whether a person or model wrote text; changing or certifying facts, which require primary evidence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review code for AI slop patterns. TRIGGER when user says "review for AI slop", "check for AI patterns", "clean up AI code", "audit AI-generated code", or "review AI slop".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cut AI tells from any writing. Use for every piece of prose that ships - docs, READMEs, commit messages, PR descriptions, release notes, changelogs, UI copy, chat answers - and as a final pass before handing work back. Triggers - "unslop", "de-slop", "remove the slop", "sounds like ChatGPT", "make it sound human", "too wordy", "cut the fluff". Must always apply.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Establish Service Level Objectives (SLO), Service Level Indicators (SLI), and Service Level Agreements (SLA) with error budget tracking, burn rate alerts, and automated reporting using Prometheus and tools like Sloth or Pyrra. Use when defining reliability targets for customer-facing services, balancing feature velocity against system reliability through error budgets, migrating from arbitrary uptime goals to data-driven metrics, or implementing Site Reliability Engineering practices.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when designing how an Agentforce agent extracts structured input parameters (slots) from a user's natural-language utterance to invoke an action. Triggers: 'agent extract date from user', 'agent action argument extraction', 'agentforce slot filling', 'agent invocable input mapping', 'agent fails to fill required parameter'. NOT for action authoring (use agentforce/agent-actions) or for prompt-template variable binding (use agentforce/prompt-builder-templates).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Free a membership slot so a Telegram account can join or create a group. Accounts have a hard ceiling on channels plus supergroups, and at the ceiling both creating and joining fail with an error that misleadingly blames the target chat. Finds the least-valuable current memberships, proposes what to leave, and retries the join. Triggers: "/tg-slot", "cannot join the group", "free a telegram slot".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rewrite machine-written text so it reads like a busy human wrote it: cut 50-70%, break the even rhythm, drop AI-tell words and filler, keep facts and protected terms. Use before publishing any post, reply or email drafted by a model. Triggers: /ai-slop, /slop, humanize, anti-slop, make it shorter and alive.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Audit, grade, rewrite, and issue funny evidence-backed tickets for generic AI-slop patterns in prose, social posts, UI/design, and code. Use when asked to de-slop writing, humanize AI copy, grade a draft, review a landing page or generated interface, remove vague claims and repetitive rhetoric, inspect AI-written code for generic abstractions and happy-path-only logic, or ticket someone for a specific quality offense. Do not use to determine whether AI authored something.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Copy and text skill for antislop. Use when writing or editing prose: headlines, tone, CTAs, and anti-AI-writing patterns. Load with the core.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Mobile layout skill for antislop. Use for layouts that reflow on small screens: grids, overflow, tap targets. Load with the core.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Human and accessibility skill for antislop. Contrast, keyboard, focus, and states for real people. Includes the contrast checker.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

UI and visual skill for antislop. Use when building or editing any interface: color, layout, components, motion. Load with the core.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Code comment hygiene for AI coding agents: remove generic AI-slop comments, keep the valuable ones, never touch the code.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when designing how an Agentforce agent extracts structured input parameters (slots) from a user's natural-language utterance to invoke an action. Triggers: 'agent extract date from user', 'agent action argument extraction', 'agentforce slot filling', 'agent invocable input mapping', 'agent fails to fill required parameter'. NOT for action authoring (use agentforce/agent-actions) or for prompt-template variable binding (use agentforce/prompt-builder-templates).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diagnoses CI and pull-request pipeline health for a GitHub repo using the engineering analytics MCP tools — pull-requests (PR list with CI status), workflow-health (per-workflow CI trends), and pr-lifecycle (a single PR's timeline). Use when asked whether CI is getting faster or slower, which GitHub Actions workflow is the slow or flaky long-pole, how long PRs take from open to merge, how an author's merge time compares to the cohort, which open PRs have failing or pending CI, or where a specific pull request is stuck. Triggers on "engineering analytics", "is CI getting slower", "slow workflow", "flaky CI", "time to merge", "cycle time", "PR throughput", "failing checks", "where is PR <n> stuck", "CI long pole", "what's holding up this PR".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find and identify the CCSPlayer_ItemServices_GiveNamedItem virtual function, the CCSPlayer_WeaponServices_Weapon_GetSlot helper, and the CBasePlayerPawn_RemovePlayerItem helper in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or libserver.so to locate GiveNamedItem by RTTI-walking the CCSPlayer_ItemServices vtable, then to locate the other two by decompiling the already-known CCSPlayer_ItemServices_GiveDefaultItems anchor and matching its callees' argument shapes and inventory-slot bookkeeping semantics. Trigger: CCSPlayer_ItemServices_GiveNamedItem, CCSPlayer_WeaponServices_Weapon_GetSlot, CBasePlayerPawn_RemovePlayerItem

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

OpenClaw의 시작, 채팅, 화면 표시가 느린 원인을 작업 횟수와 실측값으로 조사합니다. 불필요한 처리를 줄이고 성능 개선 PR 작성과 검토를 지원합니다.

• 시작이나 채팅 응답 지연 조사
• 중복 SQL 실행과 파일 읽기 줄이기
• 실측값으로 성능 개선 PR 검토

OpenClaw 테스트와 플러그인 검증의 시간 및 메모리 사용량을 측정하고 로딩과 시작 과정의 원인을 조사합니다. 검증 범위를 유지하며 개선 전후 수치를 비교합니다.

• 느린 테스트와 과도한 모듈 로딩 원인 조사
• 플러그인 검증 시간과 메모리 사용 절감
• 테스트 중 메모리 증가 조사

재현하기 어려운 오류와 성능 저하를 증상 감지 테스트나 스크립트로 조사합니다. 원인 후보를 검증하고 수정한 뒤 재발 방지 테스트까지 확인합니다.

• 재현하기 어려운 오류 조사
• 처리 속도가 느려진 원인 조사
• 간헐적 오류를 반복해서 검증

Next.js 16 이상에서 개발 서버 시작과 코드 변경 반영이 느린 원인을 살펴봅니다. Turbopack과 webpack의 선택, 캐시와 proxy.ts 명명도 확인합니다.

• 개발 서버 시작 지연을 조사할 때
• 코드 변경 반영이 느린 원인을 확인할 때
• Turbopack과 webpack을 선택할 때

Helps design ClickHouse tables, write analytical queries, and improve slow queries. Covers loading data in batches, preparing reusable summaries, and monitoring performance for large datasets, real-time dashboards, and time-series analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing tables for large-scale analytics
• Improving slow aggregation queries
• Loading large datasets in batches