382건 · 관련도순
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Build a daily or weekly worklog from recorded activity and checked outcomes. Separate plans, observed work, and verified completion, then summarize useful results and unfinished tasks with source links and clearly marked gaps or estimates.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a recorded software failure into a draft bug report with timestamps, reproduction steps, expected and actual behavior, and relevant evidence. Separate visible symptoms from possible causes and remove sensitive details from shareable evidence.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review stored LifeOS goals and personal context against available records such as sleep, app usage, work, and expenses. The skill prioritizes stale information and contradictions, proposes corrections for approval, and reviews the gap between current and ideal states.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Review consequential or ambiguous decisions through ten stages of structured reflection. Separate observations from assumptions, examine alternatives and risks, and produce a recommendation supported by evidence, with verification needs and conditions for revisiting the decision.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Investigate Sentry issues by comparing recent events, error locations in code, tags, environments, releases, and recurrence patterns. Separate observed failures from suspected causes before proposing a fix grounded in the available evidence.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Inspect live development or staging traffic to find an identifier that distinguishes one developer’s requests across services. Produce a matching mirrord HTTP filter and a report showing where the identifier survives, disappears, or cannot be observed.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Observe Before Editing
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when a task needs an app on the user's own screen — a native desktop application (instrument control software, Origin, GraphPad, ImageJ, a reference manager, a spreadsheet), or a desktop browser window that needs window-level control. Read before the first `computer` call. Covers the observe-act-observe loop, why element indexes go stale, which action to prefer for which control, what "unverified" means and why it must never be reported as success, and the recovery for each error code. Not for page-level web automation (use the browser connector) and not for anything that can be done from the shell.
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Use under time pressure when the situation is still changing and you must act before certainty — cycle Observe→Orient→Decide→Act on ~70% confidence, then re-observe.
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Use when asked 公开课怎么准备, 帮我写说课稿, 优质课比赛, 评优课, 教研课, 汇报课, 青年教师赛课, 试讲, or prepare an observed lesson in a Chinese school. Produces a 公开课 preparation pack in Chinese: a 说课稿 (说教材, 说学情, 说教学目标, 说重难点, 说教法学法, 说教学过程, 说板书) timed to the required length, the lesson's highlights (亮点) and how observers will see them, a rehearsal and 磨课 plan, contingency plans, and answers to likely 评课 questions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guidance for simulating RoadRunner scenarios via the MATLAB programmatic API and Simulink co-simulation. Use when the user wants to run a simulation, step through a simulation, control actors during co-simulation, add observers, attach sensors, retrieve simulation logs, or read/write scenario variables. Covers simulateScenario, createSimulation, ScenarioSimulation set/get, ActorSimulation getAttribute/setAttribute, addObserver, SensorSimulation, Simulink co-sim blocks, and publishActorBehavior. NOT for project setup, scene building, scenario authoring, or trajectory export.
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Bevy ECS skill for messages and observers. Keywords: Bevy, Message, Event, Observer.
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Bevy ECS skill for messages and observers. Keywords: Bevy, Message, Event, Observer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
A first step in the data analysis of Mass Spectrometry (MS) based proteomics data is to identify peptides and proteins. With this respect the huge number of experimental mass spectra typically have to be assigned to theoretical peptides derived from a sequence database. Search engines are used for this purpose. These tools compare each of the observed spectra to all candidate theoretical spectra derived from the sequence data base and calculate a score for each comparison. The observed spectrum
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
embeddedskills 的薄编排层，用于在当前 workspace 中发现工程、选择 build/flash/debug/observe 后端、串联 .embeddedskills/state.json，并聚合底层 skill 的结果。 当用户明确输入以下命令之一："一键构建烧录"、"自动诊断"、"串起 build -> flash -> debug -> observe" 或显式调用 /workflow 时触发。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Observe Before Editing
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design service mesh observability — distributed tracing, service-level metrics, and dashboards. Use when asked to "add service mesh observability", "set up distributed tracing in the mesh", or "build service-level dashboards".
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Log a bias-log / vipassana observation to the memex store the moment a reasoning pattern surfaces, mid-session or at close. Use when you catch a bias in your own reasoning (anchoring, confirmation, trust-the-summary), when a pace tell or verification gap appears, or when meditate/observe produces a reflection worth persisting across sessions. Primary path pipes the body to `memex add` over stdin (`--title` required) then runs the `meditate-vipassana` extractor to make it queryable; secondary path appends a numbered bullet to `docs/OBSERVATIONS.md`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Logs the outcome of a skill execution to observations/<skill-name>/runs.md. Trigger on: "log this run", "skill worked", "skill failed", "this didn't work", "log the outcome", "record this", "note that", or after any skill completes with a clear success, partial, or failure outcome. Creates the observations file if it does not exist, then appends an entry with date, task description, skill used, outcome, what worked, what failed, and any error messages observed.
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Profiles a threat actor by aggregating observed ATT&CK techniques into a TTP profile and comparing it against known-group technique sets to estimate similarity and candidate attribution. Activates for requests to profile a threat actor, compare observed TTPs to known groups, or estimate attribution from technique overlap.
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Apply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow.
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Use this skill when a company must test its incident response or continuity plan without breaking anything, because an audit, a customer, a regulator or the plan itself calls for an exercise, and someone asks "design a tabletop", "run a ransomware tabletop", "BCP exercise", "crisis simulation", "test our incident response plan", "write the injects" or "we need exercise evidence". Picks two or three objectives, builds a realistic company-specific scenario with timed injects that force decisions, briefs the facilitator and observers, and writes the exercise plan, the injects, the observer sheet and a findings record that ends in owned actions.
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Repository または subsystem を対象に、source-only で明示的なセキュリティ監査を行う entry skill。 通常の PR セキュリティレビューとは分離し、reconnaissance、scope 固定、既存 security skill への委譲、 evidence と unresolved hypothesis、observe-only SecurityAuditCoverage、coverage critic、 structured audit artifact と repeat-run coverage を扱う。target-controlled code は実行しない。
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