1.8천건 · 관련도순
Assign confidence scores (0-100) to every claim in a response. Helps users understand which parts are verified facts and which are educated guesses. Use when the user needs to know how much to trust each part of the answer.
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当用户想简化公司政策、考虑无限假期、对官僚审批流程感到沮丧、或想建立信任文化时触发。基于Netflix取消管控哲学：用原则替代规则，前端灌输上下文，后端审计。
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Author, revise, review, or organize Open Knowledge Format (OKF) v0.2 knowledge bundles: Markdown concept documents with YAML frontmatter, bundle navigation, provenance, trust, lifecycle, and Attested Computation contracts. Use whenever creating or maintaining an OKF corpus or checking it for OKF compliance.
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Write scripts and programs against gatOS — the KSA mod that exposes live Kitten Space Agency simulation state as a 9P filesystem at /sim (also over HTTP /v1, MQTT, and an AI-oriented MCP server). Use this when asked to read game/celestial/vehicle telemetry, control vehicles (throttle, ignite, staging, attitude, burns, RCS, lights, docking), use game/debug controls (teleport, impulse kick, refuel, time-warp, switch vessel), direct the in-game camera / author cinematic shots and tracks, schedule timed command sequences, or write flight-computer / autopilot programs. Covers the full /sim catalog, the command model, KSA coordinate frames, and worked Bun/TypeScript + Rust examples.
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Expert-level aerospace propulsion covering gas turbine engines, rocket propulsion, thermodynamic cycles, nozzle design, and propellant chemistry.
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Design leakage-safe machine learning experiments that mirror real deployment and support fair model comparisons. Use when defining prediction timing, feature eligibility, train-validation-test splits, baselines, metrics, or controlled model iterations; not for auditing whether raw labels are trustworthy.
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Audit datasets, joins, labels, and ground truth before analysis or modeling. Use when data meaning, row grain, time semantics, source-of-truth reliability, or label construction may invalidate conclusions; not for general model evaluation after the evidence base is already trusted.
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Validate agent output against declared domain rules and ground truth before trusting it downstream. Trigger after any agent produces output that will be used in a decision, stored persistently, or passed to another agent.
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Guides AI agents through Senzing entity resolution workflows using the Senzing MCP server. Covers data mapping to Senzing format, SDK code generation (Python, Java, C#, Rust, TypeScript/Node.js), documentation search, error troubleshooting, sample data access, reporting and visualization, SDK setup guides, and V3-to-V4 migration. Use when working with entity resolution, record matching, record linkage, deduplication, Senzing SDK integration, data mapping for Senzing ingestion, or troubleshooting Senzing error codes. Also use when the user mentions matching records across data sources, finding duplicate entities, identity resolution, master data management, or needs to resolve who is who across datasets.
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Identify and add new AnimeGameData field deobfuscation mappings by comparing cleartext and obfuscated AGD revisions. Use when a new Genshin Impact build changes obfuscated JSON field names or when rust/istaroth-agd-regen/src/deob.rs needs a new version mapping block.
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Use when adding auth, webhooks, uploads, queues, secrets, tenant boundaries, or public endpoints — produces trust boundaries + abuse cases mapped to files, BEFORE implementation.
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Use when setting up Traefik as a local reverse proxy — real domains on 127.0.0.1, trusted HTTPS via mkcert, automatic service discovery, and multi-project routing.
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Use when running verbose CLI commands — wraps them with rtk (Rust Token Killer, third-party Apache-2.0; upstream reports 60-90% token savings). Covers installation, configuration, and usage patterns.
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Use when designing engineering 1:1s — cadence, agenda mix, growth-vs-blocker-vs-trust shape, cancellation anti-patterns. Triggers on 'fix my 1:1s', 'should I cancel 1:1s this week'.
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Use when creating a Laravel/PHP DTO with the SimpleDto base class and attribute mapping. For DTOs in other stacks, use the stack-native skill (TypeScript, Python, Rust, Go).
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When scoring whether an agent response defended against an injection — treated untrusted content as data, refused role-takeover, ignored fake boundaries. Inverted axis; never auto-gates.
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Writing/reviewing client-side UI (React/Vue/vanilla) — insecure-render + client-trust gaps AI ships: XSS via innerHTML, client secrets, client-only auth, CORS wildcard, token in localStorage
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Build and manage trusted local Paseo plugins. Use when the user asks to create, edit, install, reload, enable, disable, remove, or troubleshoot a Paseo plugin; add lifecycle hooks; transform agent configuration, environment, MCP servers, or workspace creation; automate permissions or turn follow-ups; add a screen, sidebar header or footer item, or workspace panel; add Command Center items or slash commands; add composer pills or attachment sources; transform, render, or append agent timeline items; contribute a theme; use Paseo from plugin code; or add plugin RPCs.
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Use when invoked as $new-project or when creating a brand-new repository or project from scratch — scaffolds mise-pinned tools, a just task surface, the standard repo files, and CI for Python (uv), TypeScript (bun), Rust (cargo), or Go.
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Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.
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Shared in-workflow quality gates for code/PR skills — the gate model, trust tiers, and the three primitives (evidence-before-done, independent judge, anti-gaming). DO NOT TRIGGER directly — referenced by consumer skills via relative path.
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Keep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result). Local by default; commit it when a reviewer needs the trail to trust the result. Use for /show-me-your-work, autonomous or multi-phase runs, or work a human reviews after stepping away.
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Apply when wiring validation, error handling, or framework adapters. Concentrate guards at system boundaries (CLI, config, network, external APIs); trust internal types and keep business logic in pure functions.
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Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.
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