'first run' 검색 결과

Validated commit — runs quick checks before committing. Use when ready to commit changes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds, validates, packages, tests, and optimizes deployment-ready Skill files (SKILL.md + references/ + scripts/ + agents/) from design specifications. Three pre-build gates + 9-dimension quality gate (with D9a/b/c empirical evidence tiers) + behavioral iteration loop + automated description optimizer + blind version comparator. Use for building, reviewing, revising, testing, or optimizing Skills. Trigger on: "build this Skill," "review this Skill," "test my Skill," "optimize the description," "compare these Skill versions," "should this be a hook instead," "build a template first." Also: "my Skill doesn't activate," "my description truncates," "my SKILL.md is too long," "my Skill is overtriggering." Do NOT use when designing Skill methodology — that's design work, not packaging. Do NOT use for prompt compilation, project auditing, or prompt scoring (use rootnode-prompt-compilation, rootnode-project-audit, or rootnode-prompt-validation if available).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Select, run, and report proportional Proto UI validation for a completed change. Use before review, handoff, commit, or pull request updates, and after resolving validation failures. Cover focused evidence first, then affected graph, types, docs, packaging, consumers, release, or repository checks according to risk.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement one governed Proto UI Adapter-profile realization slice. Use when target and runtime range, supported or omitted Module role, Host Capability fidelity, lifecycle translation, failure behavior, compatibility boundary, and evidence scope are fixed by current authority. Use pui-adapter-assess for research or readiness assessment and pui-regression first for a governed failing behavior.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the repo-local Odylith startup contract first, before context/search fan out.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

OpenTSC v2.1: Soul/Shell architecture for interpersonal intelligence. Local, offline-first, with event graphs, judgment engine (K7), self-creation (K8), three-layer attributes, calibrated predictions, 11 VSM professions, and a pluggable zvec memory index (semantic search, identity resolution, jieba segmentation, emotion scoring incl. batched+cached LLM) that runs with zero extra deps. Transforms implicit social judgment into explicit, queryable, auditable, evolving intelligence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up local iOS dev/build tooling for NowStack Mobile: Xcode, Simulator, CocoaPods, Watchman, mobile deps, and first `expo run:ios`. Use for `/ns ios local-setup`, legacy `/ns setup-ios`, simulator preview, or local TestFlight prerequisites. macOS only; signing is `/ns ios setup`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Connect every external account NowStack Mobile needs (Convex, Expo/EAS, Apple Developer, Vercel, Stripe, Google Play) by acquiring PROGRAMMATIC API ACCESS for each, then doing everything automatically through that access. Use for "setup accounts", "connect my accounts", first-run onboarding, or when check-setup reports CLI/auth gaps. The skill obtains a token/key per service, stores it in the right place, and only asks the user for the irreducible manual steps (browser signup, 2FA, one-time key download). Every account is skippable.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Release a NowStack Mobile Android app to Google Play production - listing, screenshots, Data safety, content rating, release notes, then promote the tested internal build to the production track with a staged rollout. Use for "release on Android", "publish to Play production", "promote to production", "ship the Android update". If no build is on a testing track yet, run ns-android-beta first.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a NowStack Mobile Android app and upload it to a Play testing track. Always check OS first: macOS may build locally; Windows/Linux must run ns-setup-expo and use EAS cloud.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a NowStack Mobile iOS app and upload it to TestFlight. Always check OS first: macOS uses local `eas build --local`; Windows/Linux must run ns-setup-expo and use EAS cloud.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Creates or adds Convex to an app. Use for new Convex projects, npm create convex@latest, frontend setup, env vars, or the first npx convex dev run.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Find the angle that makes something sell. Use this skill whenever the user mentions positioning, angles, differentiation, unique selling proposition, 'how do I stand out', 'what makes us different', value proposition, messaging framework, or 'find the hook'. Also trigger when copy isn't converting (often a positioning problem), when marketing feels generic, when launching a product, creating a lead magnet, writing a landing page, or entering a crowded market. Even if the user is about to write copy without established positioning, run this first — the angle informs everything downstream. Generates 3-5 positioning angles with competitive web research and validation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Schedule social posts to any of 30+ providers via a running postiz instance (hosted at api.postiz.com or self-hosted). Use this skill whenever someone wants to post, schedule, or publish a draft to LinkedIn, Reddit, Bluesky, Mastodon, Threads, Instagram, TikTok, YouTube, Pinterest, Discord, Slack, or any non-Twitter social channel. ALWAYS chain content-atomizer first for platform-specific copy — this skill is a distribution layer only, it does not rewrite copy. For Twitter/X threads, use typefully instead (better thread UX). Triggers: "post to linkedin", "post to reddit", "post to bluesky", "post to mastodon", "post to threads", "schedule via postiz".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Define or extract a consistent brand voice that other skills can use. Three modes: Extract (analyze existing content), Build (interview-based), Auto-Scrape (from URL). Use when copy sounds generic, when starting any new project, when voice feels inconsistent across channels, when onboarding a new brand, or when any skill needs voice-profile.md but it doesn't exist yet. This is always the first skill to run for a new project. Make sure to use this skill whenever the user mentions tone of voice, brand personality, 'my copy all sounds the same', 'how should I sound', 'analyze my website voice', 'define my tone', or anything about making content sound more human or distinctive. Even if the user just says 'my marketing sounds generic' — that's a voice problem.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Dependency checker and installer for agent-canvas, agent-eyes, and canvas-edit skills. Use BEFORE running any canvas skill for the first time, or when canvas skills fail with import/browser errors. Triggers on "setup agent canvas", "install canvas dependencies", "canvas not working", "playwright not found", or any setup/installation request for canvas skills.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Route plain-language requests for Pi, Claude Code, Codex, OpenCode, Gemini CLI, or ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user asks "which SAT should I use for X?", wants the index of Structured Analytic Techniques, or is choosing between quality-of-information-check, ACH, key-assumptions-check, devils-advocacy, indicators of change, etc. Quality of Information Check is the default first step of any diagnostic run.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when the user asks to write a threat / risk / vulnerability assessment, or wants the appropriate template for each type. Distinct structures and section ordering per assessment kind. Prefers graded evidence items from /quality-of-information-check and runs that skill first when handed raw URLs or text. Confidence is capped by the weakest load-bearing claim, and at Moderate when the evidence is ungraded.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Structured threat assessment methodology. Intent + Capability + Opportunity = Threat Level. Use when formally evaluating a threat. Prefers graded evidence items from /quality-of-information-check and runs that skill first when handed raw URLs or text. Confidence is capped by the weakest load-bearing claim, and at Moderate when the evidence is ungraded.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when evidence needs grading before anyone reasons from it — the user asks "how reliable is this?", "grade this source", "check this report", "can I trust this article?", "is this corroborated?", or hands over a URL, a pasted report or a Liberty91 event ahead of an ACH or assessment. The Quality of Information Check from the CIA Tradecraft Primer, adapted for vendor and press CTI reporting. Resolves each document to its originating source, splits it into claims, and grades every claim on two written elements, access level (how the source knows) and claim support (what backs the statement), with a stated rationale, using a fixed rubric with hard caps. The grade is not an Admiralty rating. Five outlets citing one vendor report count as one source; anything that cannot be traced to a primary is capped, not guessed. Returns a graded claim table, gaps, a deception screen and JSON. /ach, /threat-assessment and /writing-assessments run it first by default.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Dark web intelligence collection methodology — vendor-first access posture, sourced reference lists for 35+ underground forums and 30+ Telegram channels, OPSEC primer, passive-monitoring strategy, and bundled Python CLIs for onion-indexer search, Telegram channel monitoring, and local keyword matching. Use when the user wants to design or run dark-web collection, build a selector list, pick a vendor, or set up monitoring infrastructure.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when you need to hunt in the organisation's own Microsoft Sentinel workspace — sweep the logs for IOC hits (IP, domain, hash, URL, account), hunt behavioural TTPs from MITRE ATT&CK techniques, run KQL against live data, or check which tables the workspace actually ingests. Discovers available tables first and only generates KQL for tables that verifiably exist, so hunts adapt to each environment's connectors. Commonly chained by the /*-investigation skills to answer "were we exposed?". Reads $SENTINEL_TENANT_ID, $SENTINEL_CLIENT_ID, $SENTINEL_CLIENT_SECRET, $SENTINEL_WORKSPACE_ID. Read-only.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.