「apt」の検索結果

Use when you have captured session evidence — session-retro / session- observatory-live traces in .planning/patterns/, tool logs, correction records — and want to induce a reusable skill from it. Segments the traces into candidate skill units (an LLM judgment, not a deterministic parse) and decomposes each candidate into a four-part structured spec: workflow structure, execution semantics, and runtime attachments (verification, safety, rollback, state). It emits a spec object, NOT a finished SKILL.md, and hands that spec to skill-forge. It sits between skill-integration (upstream frequency detector) and skill-forge (downstream author). Backed by Agent-Trace-to-Skill Induction (arxiv 2606.06893v1). Triggers on inducing a skill from captured traces, turning a repeated pattern into a skill spec, and preparing evidence for skill-forge.

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字幕与花字：为带货短视频生成 ASS/SRT 字幕与花字（大标题弹出、关键词高亮、贴纸标签、行动号召按钮），自动避开平台底部/右侧 UI 安全区，并用 ffmpeg/libass 烧录。Use when the user wants subtitles, captions, 字幕, 花字, 大字报, keyword highlight, burned-in captions, SRT/ASS files, or text overlays that don't get covered by TikTok/抖音 UI.

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This skill should be used when a story has been captured but content direction is unresolved - the spark describes WHAT to build structurally but not WHAT goes in it. Reads the story spark, splits it into Resolved (structurally clear) vs. Assumed (would have to guess) content dimensions, and surfaces each assumption for the human to confirm, correct, or expand. Also classifies implementation risk tags (has-variants, has-data-pipeline, has-animation, has-touch-targets, diverges-from-existing) so plan-chunks translates them into acceptance criteria that name the implementation mechanism. Captures answers into

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CapTP: Capability Transfer Protocol

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Go-based security techniques from "Black Hat Go" extended with macOS, Cloud, Mobile, IoT, Supply Chain, API, Web3, AI/ML, Red Team, ATT&CK, and LLM chapters. 186 techniques, 36 tools, 33 defenses across 37 chapters. Includes adversarial bisimulation games with Ungar (order-dependent) and join-semilattice structures. AAIF-compatible multiplayer agent games for human-agent security exercises.

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World Extractable Value via Aptos orderless transactions with Strong Parallelism Invariance (SPI) guarantees and GF(3) conservation.

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Aptos GF(3) Society Skill

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Skill aptos-ecosystem

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Aptos Wallet MCP Skill

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Aptos Society Scale

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Atlas of Agent Client Protocol (ACP) clients, agents, and OCapN/CapTP-grounded actors. Use when picking a coding agent surface, threading ACP over CapTP, locating the local Zoad implementation, or navigating the Hermes-as-OCapN-actor family.

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Walks a user from one rough content idea to a finished post, platform-adapted variants, and repurposed follow-on assets using a 7-step sequential prompting workflow. Use when the user wants to turn a half-formed idea, frustration, story, or client situation into publishable content quickly and consistently — covering idea extraction, hook generation, outline, draft, humanizer pass, platform adaptation (LinkedIn, Reddit, X/Twitter, newsletter, Telegram), and repurpose engine.

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Turns raw captures (dictated braindumps in a deliverable's inbox/, or recent macwhspr dictation-log entries) into proposed planning-wiki changes, shown as one unified diff. Classifies each statement as a decision, evidence claim, question, task, or dropped item, traces it to its capture paragraph, tags unconfirmed names, numbers, and citations UNRESOLVED, and writes decisions only with the author's assent. Edits only the planning wiki, never source files. Use when asked to intake, absorb notes, or process the inbox, or after dictating notes from a talk, meeting, or reading session.

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Branch skill for building and improving agents. Use when creating new agents, adapting marketplace agents, validating agent structure, writing system prompts, or improving existing agents. Triggers: 'create agent', 'improve agent', 'validate agent', 'fix agent', 'agent frontmatter', 'system prompt', 'adapt agent', 'customize agent', 'agent examples', 'agent tools'.

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Use when writing, expanding, rewriting, or drafting any chapter (.mdx) or Go exercise for this book. Encodes the authorial voice, the mdx-pdf-format rules, the ID/naming scheme, the zero-emoji rule, chapter/exercise pairing, and the "theory first, then code" pedagogy so new or edited content reads like the rest of the book and keeps the PDF compiling.

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Repurpose off-platform content into a native YouTube surface. Take a blog, X thread, LinkedIn post, or newsletter and turn it into a community post or poll, or a video brief (title, spoken hook, description with chapters). Leads with the payoff, converts listicles into chapters, strips off-platform artifacts, publishes via Publora on approval. Not for a fresh community post (use yt-community-post-writer), not for a hook script (use yt-hook-scripter).

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Uses mitmproxy2swagger to turn captured mitmproxy flows or HAR exports into a first-pass OpenAPI document that an agent can refine, validate, and hand off to downstream tooling. Invoke it when the API already exists but the contract does not, and you need a concrete spec before generating clients, mocks, tests, or reviewable docs.

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Decide what to borrow, adapt, or write before building something. Use when the user describes an app, tool, CLI, or feature they want to build and needs to know which parts already exist as open-source GitHub repos (BORROW), which are worth reading and adapting (KITBASH), and which to just write (WRITE). Every repository named is checked against the live GitHub API, so invented ones never reach the user.

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Use when the user brings an external source worth keeping — a URL, a paper, a tweet/thread, a blog post, a docs page — and wants it pulled into the second brain. Fetches the source into the git-ignored capture inbox, admits it to the committed wiki through the admission policy, then refreshes the knowledge graph so it joins the rest of your thinking. Trigger on "/graph-ingest", "ingest this url", "add this paper to my knowledge", "add this tweet/page to my knowledge", "capture this source".

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Transcribing, displaying and animating captions

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Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. Use when the task involves `test web application`, `test frontend`, `browser testing`, `Playwright test`, `capture browser screenshot`, `debug UI behavior`, or `verify frontend functionality`.

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Use when the user says 'save this as a template', 'create a playbook from this page', 'capture this layout', or has hand-built the same page type three times. Captures canonical page patterns as reusable playbooks that later page generation can spawn from in seconds.

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AI-PLC Stage 3 Construction。Agent 定義が要るタスク（RUL_plc_adaptive §6: complex・platform_builder・慎重モード・委譲・長い実装）に対して実行可能なAgent定義と実行計画を生成する。

ai_plc_construction - AI-PLC Stage 3。Agent 定義が要るタスク（RUL_plc_adaptive §6）に対して実行可能なスキル定義と実行計画を生成する。