Orientação especializada para fine-tuning de LLMs com LLaMA-Factory - WebUI sem código, 100+ modelos, QLoRA 2/3/4/5/6/8-bit, suporte multimodal
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。
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Orientação especializada para fine-tuning de LLMs com LLaMA-Factory - WebUI sem código, 100+ modelos, QLoRA 2/3/4/5/6/8-bit, suporte multimodal
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。
Sistema autônomo multi-agente para startups em Claude Code. Ativado com "Loki Mode". Orquestra 100+ agentes especializados em engenharia, QA, DevOps, segurança, dados/ML, operações comerciais, marketing, RH e sucesso do cliente. Vai de PRD para produto totalmente implantado e gerando receita com zero intervenção humana. Inclui ferramenta Task para despacho de subagentes, revisão de código paralela com 3 revisores especializados, triagem de problemas baseada em severidade, fila de tarefas distribuída com tratamento de dead letter, implantação automática em provedores de nuvem, testes A/B, loops de feedback de clientes, resposta a incidentes, circuit breakers e auto-recuperação. Gerencia limites de taxa via checkpoints de estado distribuído e retomada automática com backoff exponencial. Requer flag --dangerously-skip-permissions.
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。
Conversão pixel-perfeita de Figma para React usando coderio. Gera código pronto para produção (TypeScript, Vite, TailwindCSS V4) com alta fidelidade visual. Inclui tratamento robusto de erros, recuperação de checkpoints e execução simplificada via script auxiliar.
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。
Comprima modelos de linguagem grandes usando destilação de conhecimento de modelos professor para aluno. Use ao implantar modelos menores com desempenho retido, transferir capacidades do GPT-4 para modelos de código aberto ou reduzir custos de inferência. Aborda escalamento de temperatura, alvos suaves, KLD reversa, destilação de logits e estratégias de treinamento MiniLLM.
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。
Framework PyTorch de alto nível com classe Trainer, treinamento distribuído automático (DDP/FSDP/DeepSpeed), sistema de callbacks e boilerplate mínimo. Escala de laptop para supercomputador com o mesmo código. Use quando quiser loops de treinamento limpos com boas práticas integradas.
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。
中文拆书与读书笔记助手。当用户要"拆书""读书笔记""这本书讲什么""帮我读这本书""做读书卡片""写书评""整理一本书的框架"时使用。重点是把书变成能用的东西,不是复述目录。
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。
Operate the WeChat Official Account AI-application workflow for articles, weekly digests, rich formatting, draft-box updates, and local handoff. Use for Agents, MCP, Skills, tool calling, workflows, and open-source AI updates; exclude Xiaohongshu and Xianyu.
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。
Generate the weekly "🧹 Housekeeping" digest — a render-only report of repo drift that needs a human eye (stale unmerged branches, mislabeled issues, stuck in-progress tickets, epics ready to close, idle PRs, label-coverage gaps). Reports only, never mutates. Use when asked for a "housekeeping report", "repo drift", "what's stale", or to run the weekly sweep by hand.
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。
The catalog of every config-as-data surface in nuxt-crouton — which file controls what, who actually reads it, its drift hazards, and how to change it safely. Use when asking "where is X configured", "who reads this file", "what happens if I edit harness.config.mjs / routing.json / digests.yml / labels.yml / a deploy.config.json / an e2e.manifest.json", when a setting change had no effect (silent no-op), when adding a new config surface, or when a gen-*.mjs --check fails. Trigger phrases: "where do I configure", "what reads this config", "config drift", "the setting didn't do anything", "stale generated doc", "add a new config-as-data surface".
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。
Compose a short LinkedIn-post-style thread from Ahmad's OpenMark saves. Use when Ahmad wants a tight 200–400 word post he can paste into LinkedIn, X, or a short newsletter slot — NOT a long essay or full digest. Trigger phrases include "thread", "LinkedIn post", "short post", "tweet thread", "quick newsletter", "social post", "/newsletter-thread". Output is one strong hook + 4–7 short paragraphs + ONE link. Optimized for skim-reading on a phone.
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。
Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).
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。
A Certificate Authority (CA) is the trust anchor in a PKI hierarchy, responsible for issuing, signing, and revoking digital certificates. This skill covers building a two-tier CA hierarchy (Root CA +
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。
Generate log2timeline and Plaso super-timelines and triage them in Timesketch.
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。
Parse Windows Prefetch files using the windowsprefetch Python library to reconstruct application execution history, detect renamed or masquerading binaries, and identify suspicious program execution patterns.
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Parses and analyzes the Windows Amcache.hve registry hive to extract evidence of program execution, application installation, and driver loading for digital forensics investigations. Uses Eric Zimmerman's AmcacheParser and Timeline Explorer for artifact extraction, SHA-1 hash correlation with threat intel, and timeline reconstruction. Activates for requests involving Amcache forensics, program execution evidence, Windows artifact analysis, or application compatibility cache investigation.
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。
EpisodicRAG設定変更(対話的)
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EpisodicRAG初期セットアップ(対話的)
EpisodicRAG 健全性診断と階層推奨
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Squeeze three to five durable lessons out of the owner's own words from the last seven days into a weekly note in the insights folder. The LLM reads only a collector's digest, never the raw corpus. Triggers: "/wisdom-distill", "distill my week", "weekly wisdom".
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。
- Corporate due-diligence workflow — resolve a brand or website to its registered legal entity, map group structure and beneficial ownership, profile officers and directors, enumerate the digital estate, and screen litigation, insolvency,… Use when asked to check out, vet or research a company, verify a supplier or counterparty before signing or paying, or assess whether a business is real
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- Establish who registered and who operates a domain using WHOIS, RDAP and DNS. Use when running a whois lookup, querying RDAP, digging A, AAAA, MX, NS, TXT, SOA or CAA records, reading SPF includes, DKIM selectors or DMARC rua addresses, finding the registrar, registrant or nameservers, doing reverse DNS, PTR, ASN or netblock lookups, or hunting historical WHOIS and passive DNS
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。
Drive NotebookLM over a programmatic CLI with no browser: turn a vault slice into an audio overview, study guide or mind map, and fold the artifacts back into the vault. Browser automation is the fallback if CLI auth breaks. Triggers: "/notebooklm", "make an audio digest of <topic>", "podcast from the vault".
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。
Check, search or digest Gmail across several mailboxes over the owner's own OAuth connector, with no browser and near-zero tokens for the raw pull. Read-only by default: drafting and sending go through the outbound approval gate. Triggers: "/gmail", "check mail", "any important emails", "find the email 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。
- Use people-search aggregators and primary public records to find addresses, phone numbers, relatives, age and background on a person, and to audit and remove your own exposure. Use when running a people search or reverse address lookup, tracing a debtor or missing person, building a subject's address history, or removing yourself from broker sites
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。