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概要と使いどころ
Analyze the current repo structure, build system, test setup, and conventions to provide a practical onboarding guide. Use when new to a codebase, joining a project, or wanting to understand how a repo is organized. Triggers on getting started, new to repo, onboard, how does this repo work, repo structure, codebase overview.
日本語の概要は準備中です。原文の説明を表示しています。
Knowledge base from the DoD Manufacturing Readiness Level (MRL) Deskbook (Version 2022, OSD ManTech / Joint Service–Industry MRL Working Group). Use for assessing and managing manufacturing maturity and producibility risk in defense acquisition: the 10-level MRL scale and its non-linear, target-not-grade nature; the five demonstration environments (laboratory → production-relevant → production-representative → pilot line → production line); the nine manufacturing-risk threads and sub-threads; how MRL targets map onto Adaptive Acquisition Framework milestones (MRL 4/6/7/8/9); conducting an MRL Assessment; building a Manufacturing Maturation Plan; putting MRL maturity into contract language (Section L/M, SOW, AS6500A, DIDs); tailoring criteria for S&T, single-system, ship, sustainment, and industry contexts; and screening operational-technology cybersecurity. Manufacturing-readiness focused — it measures producibility risk and frames mitigation; it is NOT a technology-readiness (TRL) guide, a full systems-engineering process model, a cost-estimating or schedule guide, or a deep cybersecurity audit method (see sibling packs for those).
日本語の概要は準備中です。原文の説明を表示しています。
Erzeugt aus einem Bestand offener und gefallener Entscheidungen einen strukturierten ASCII-Abhängigkeitsgraphen (maximal 100 Spalten) für das Terminal. Bewertet Knoten nach fünf festen Kriterien: sinnvoll, empfohlen, usertypisch (Richtung und decision-avatar-Konfidenz getrennt), zusammenpassend und widersprechend; Kanten tragen Beziehungstyp und Belegstatus. Deckt Blocker, Freischaltungen, Reihenfolgen und widersprüchliche Empfehlungen gnadenlos auf. Nutze diesen Skill bei "welche Entscheidungen hängen voneinander ab", "Abhängigkeitsgraph der Entscheidungen", "Entscheidungspfad visualisieren", "Widersprüche zwischen Entscheidungen prüfen", "Reihenfolge der Beschlüsse", /decision-path. NICHT nutzen, um Entscheidungen erst zu inventarisieren -- das macht decision-briefing; NICHT nutzen, um das empfohlene Gesamtkonzept zur Abnahme zu bündeln -- das macht decision-draw; NICHT für kompakte Fünfteiler- Einzelblöcke mit Optionen und Pro/Contra -- das macht decision-shot; NICHT für die Einzelfall-Erwägung mit Frameworks -- das macht decide.
日本語の概要は準備中です。原文の説明を表示しています。
Verweist auf das öffentliche, anbieterneutrale Modul build-your-users-mind: ein datenschutzbewusstes Verfahren zum Aufbau eines empirischen Theory-of-Mind-Präferenzmodells eines autorisierten Nutzers aus dessen eigenen Interaktionsprotokollen. Verwenden, wenn eine zuständige Person ein Entscheidungsavatar-Profil erstellen, validieren, anbinden oder pflegen möchte, ohne das persönliche Profil oder seine Belege zu veröffentlichen.
日本語の概要は準備中です。原文の説明を表示しています。
Bei vorhandenem und ausdrücklich autorisiertem lokalem Entscheidungsprofil: wiederkehrende Entscheidungen aus belegtem Feedback vorhersagen, Konfidenz kalibrieren und Vorhersage, Entscheidung und Ausführung strikt trennen.
日本語の概要は準備中です。原文の説明を表示しています。
Interaktives Reißverschluss-Audit-Verfahren für eine Serie von Apps/Prüfobjekten: der User testet live und gibt kurzes Feedback im Chat, der Agent startet dabei bereits das nächste Objekt UND wertet parallel das Feedback des vorigen aus (strukturiert erfassen, Reparaturaufträge sofort an Worker delegieren) — statt sequenziell zu warten. Nutze diesen Skill bei "human-loop-audit", "lass uns die Apps im Reißverschluss durchtesten", "ich teste, du wertest aus und reparierst", oder wenn eine Reihe von GUIs/Produkten gemeinsam mit dem Nutzer durchgetestet werden soll und Befunde sofort in Reparaturen münden sollen. Abschluss ist eine strukturierte Befundliste je Objekt (Funktioniert/Defekt/Wunsch) plus die Liste der bereits gestarteten Reparaturen.
日本語の概要は準備中です。原文の説明を表示しています。
Prepare and launch LoRA, LoKr, or T-LoRA training through lora-scripts-next (SD-Trainer), Anima-first. Use when the user asks to train a character, style, or concept LoRA, choose parameters or repeats and epochs, start a run, or monitor training on Anima, SD1.5, SDXL, or Flux. Organize and caption the dataset, run dataset-doctor, choose a documented starting preset from image count and VRAM, show one confirmation card, then call the mikazuki API and monitor its log.
日本語の概要は準備中です。原文の説明を表示しています。
WSL から Windows のファイル・プロセス・Git・Unity CLI を扱うときの実行規則。 `/mnt/c` 上の Linux git、WindowsApps の 0-byte スタブ、Editor と CLI の取り違え、 NTFS 越しのハングを防ぐ。Editor の状態（DEAD / STARTING / READY）ごとの対処、 unity open / status / command を含む。ユーザーが /wsl-windows と入力したら使う。
- Investigate an email address — MX and syntactic validation, Gravatar lookup, corporate email-format inference, breach exposure, and full mail-header analysis covering the Received chain, Message-ID and SPF, DKIM and DMARC results.
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- Research companies, directors, shareholders and ultimate beneficial ownership in official corporate registries, filings and offshore datasets — OpenCorporates, UK Companies House and the PSC register, SEC EDGAR, US Secretary of State registries, EU business registers, GLEIF LEI… Use when asked who owns or controls a company, to find a person's other directorships, or to unpick a group structure
日本語の概要は準備中です。原文の説明を表示しています。
Run an always-on Telegram watch loop under a separate assistant account using MCP push tools. Mode 1 answers when the assistant account is mentioned in team chats, with actionable vault-grounded advice; mode 2 ambiently watches designated chats and pings on salient events. Triggers: "/telegram-watch", "start the telegram watch".
日本語の概要は準備中です。原文の説明を表示しています。
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".
日本語の概要は準備中です。原文の説明を表示しています。
Researches a company from its URL and produces a Brand DNA file covering positioning, audience, competitors, voice, and messaging. Use when starting work with a new brand or customer.
日本語の概要は準備中です。原文の説明を表示しています。
- End-to-end passive reconnaissance for a domain, website or IP — builds an asset inventory covering registration, DNS, subdomains, infrastructure, tech stack, history and ownership without sending a single packet to the target. Use when asked to research or profile a domain or website, map what an organisation runs, or investigate a suspicious site without alerting its operator
日本語の概要は準備中です。原文の説明を表示しています。
Full-text keyword search across every conversation at once (Telegram, Facebook, ChatGPT, Claude, notes, transcripts) over a local BM25/FTS5 catalog: instant, zero tokens, with snippets and chat-title hits. The exact-words lane, complementary to semantic search. Triggers: "/search <words>", "where did I write about <X>".
日本語の概要は準備中です。原文の説明を表示しています。
Researches Reddit using a brand's Brand DNA to find promotable pain-point discussions, target subreddits, and real user search language. Produces a prioritized Reddit opportunity list for content seeding, helpful replies, and prompt research inspiration.
日本語の概要は準備中です。原文の説明を表示しています。
Delegate work over a shared task chat: a task is assigned by a short code phrase, and the assignee's agent expands it into a full seed and starts immediately, with state tracking so no delegated task dies silently. Triggers: "/task", "task <ID>", "my delegated tasks", "delegate <task> to <person>".
日本語の概要は準備中です。原文の説明を表示しています。
Run an investor-outreach wave end to end: assemble the batch of targets, personalize pitches from real templates, send from the designated account, and log every touch in the CRM. Walks the exact checklist with rate limits and dedup against everyone already contacted. Triggers: "/notpeople-wave", "next outreach batch".
日本語の概要は準備中です。原文の説明を表示しています。
Measure a target repository's queue and find a live open issue the contribution would close, before opening a pull request there. Reports how many PRs are open, how many of the last N closed ones were actually merged, and which issue to attach to, because a cold PR into a dead queue is a wasted artifact. Triggers: "/issue-match", "is this repo worth a PR", "measure the queue".
日本語の概要は準備中です。原文の説明を表示しています。
- Start-here router and tradecraft baseline for any investigation into a person, company, domain, image or selector.
日本語の概要は準備中です。原文の説明を表示しています。
Answer reviewers on your own pull requests in other people's repos: find threads where the ball is on your side, tell humans from bots, do exactly what was asked and reply with evidence. Use at the start of any GitHub session or on a new-review alert. Triggers: /pr-reply, /prr, answer the reviewers, who is waiting on us.
日本語の概要は準備中です。原文の説明を表示しています。
Short alias for /llms: settle the current question through a targeted, bounded consensus of other LLMs. Use when you want outside models to agree or disagree with a plan before acting. All logic lives in the llms skill. Triggers: /LLLL, llll.
日本語の概要は準備中です。原文の説明を表示しています。
Read this machine's cross-machine mailbox, the messages another computer's agent left here over a file-synced bus folder, and send messages back the same way. A session-start hook shows new mail automatically; this is the on-demand mid-session re-check. Triggers: "/inbox", "check inbox", "messages from the other machine".
日本語の概要は準備中です。原文の説明を表示しています。
- Reverse image search across Yandex, Google Lens, Bing Visual Search, TinEye and Baidu to find where a picture came from and who published… Use when reverse image searching, identifying a photo, face, logo, product, uniform or building, tracing a profile picture or avatar, finding the oldest copy of an image, checking whether a photo is stock or a repost, or reverse-searching a video by keyframes
日本語の概要は準備中です。原文の説明を表示しています。