Help users master the art of public speaking by decomposing the skill into manageable components, leveraging storytelling frameworks, and utilizing professional acting techniques for executive presence.
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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概要と使いどころ
Help users master the art of public speaking by decomposing the skill into manageable components, leveraging storytelling frameworks, and utilizing professional acting techniques for executive presence.
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。
Help users navigate the end-to-end lifecycle of funding a startup, from choosing between bootstrapping and VC to closing a Series A or managing a strategic exit.
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。
Help users master the transition from manual coding to managing AI-driven development workflows by focusing on high-level direction, parallel tasking, and rigorous automated review.
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。
Help users navigate the manual, unscalable journey of finding and closing their first B2B customers. This guide focuses on leveraging personal networks, co-creating with design partners, and obsessing over early user success.
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。
Help users navigate complex transitions, from scaling new business units to managing crises and driving AI adoption across large organizations.
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。
Help users transition from individual execution to a coaching-centric leadership style that scales through the growth of their team. It focuses on identifying skill deficits, providing reflection space, and leveraging frameworks to accelerate professional maturity.
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。
Help users master the transition from product development to active selling by leveraging their unique status as founders to bridge the trust gap and define a scalable sales motion.
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。
Help users build a sustainable engineering culture by measuring health through frameworks like Core 4, managing technical debt as leverage, and optimizing workflows with AI tools.
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。
Help users master the art of proactive communication and alignment with their managers and founders to unlock autonomy, secure resources, and drive business impact.
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 when triaging, classifying or landing Dependabot pull requests in this repo — clearing the open Dependabot queue, deciding whether a bump needs a WW Jira ticket, or checking whether a bump's build actually passed.
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 when running or planning an Apache Struts release on any maintenance line (6.x, 7.x) - cutting the tag, staging artifacts, opening the vote, promoting, updating the site and announcing - or when asked what the next step in a release is.
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 when a vulnerability or security report arrives for triage, when assessing a CVE/RCE/OGNL/injection claim against the code, or when drafting a reply to a security researcher — to research the claim from source without trusting the reporter and without fabricating your own facts.
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。
SCM (software configuration management) and Git — branching, merges, conflicts, worktrees, baselines, audit readiness, plus Conventional Commits and safe staging.
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 when setting up or optimizing developer workflows in a monorepo, managing mise tasks, git hooks, CI/CD pipelines, database migrations, or release automation. Invoke for development environment setup, build automation, testing workflows, and release coordination.
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。
Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.
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Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
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。
Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.
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。
Coordinate several workers: what idle agents do next, which finished work gets checked first, how to recover a dead one. Use when: managing multiple agents.
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。
Let the owner reach this running agent from Buzz, on the phone or in Buzz Desktop. Use when the user types /amq-remote (Claude Code) or $amq-remote (Codex), /amq-remote --native, /amq-remote off, or /amq-remote status, or asks to control this session from Buzz. Not for AMQ messaging between agents (use amq-cli).
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。
Room/SQLite, DataStore and repository traps: migrations, NOT IN with NULLs, LIKE escaping, delete order, local-time bucketing, imports, caching, paging. Use before writing a query or migration, or when data comes back wrong.
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。
Desktop JVM and build traps: JNA natives, bundling, memory, packaging, code signing, R8, deep links, Gradle and CI releases. Use when a desktop build fails packaged, signed, on another OS or arch, or in CI.
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 when wiring an existing DataFusion or datafusion-spark function into Comet for a Spark expression. Identifies the right wiring pattern (one-line passthrough, datafusion-spark UDF registration, or custom serde with input massaging / restrictions), applies the Scala serde, registers the UDF in jni_api when needed, and adds SQL file tests. Assumes the function already exists upstream — if not, switch to `implement-comet-expression`.
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。
Capture durable session learnings, stage for human promotion to 05-knowledge/lizard, and propose skill/CLAUDE.md patches. Triggered by /harvest, SessionEnd hook staging, or nightly enhance. Never writes durable knowledge without your approval.
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。