Audits architectural patterns against best practices. Maintains patterns catalog, calculates 4 scores per pattern. Output: patterns_catalog.md.
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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Audits architectural patterns against best practices. Maintains patterns catalog, calculates 4 scores per pattern. Output: patterns_catalog.md.
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。
Audits project physical structure: file hygiene, ignore file quality, framework convention compliance, domain/layer organization, naming conventions. Stack-adaptive via auto-detection.
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。
Discovery, download, and configuration hub for the entire aelf agent skill ecosystem. Use when the user wants to: (1) explore or list available aelf skills, (2) install/bootstrap aelf skills into Cursor, Claude Desktop, OpenClaw, Codex, or Claude Code, (3) route an aelf-related intent to the correct skill, (4) check health or audit installed skills, (5) onboard a new skill into the aelf ecosystem. Covers domains: Portkey CA wallet, Portkey EOA wallet, Awaken DEX, eForest NFT marketplace, AelfScan explorer, TomorrowDAO governance, aelf node interaction.
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。
ADHD-friendly life management assistant for OpenClaw. Helps with daily planning, task breakdown, time management, prioritization, body doubling, dopamine regulation, and maintaining routines. Use when the user asks for help organizing their life, staying on top of tasks, beating procrastination, planning their day/week, managing overwhelm, or mentions ADHD-related challenges like time blindness, forgetfulness, difficulty starting tasks, or emotional dysregulation.
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 Engine Optimization — get AI assistants to recommend your brand. Run AEO audits, build Answer Intent Maps, track AI recommendation positions, and maintain a 7-layer AEO infrastructure for any brand or product category.
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A continuously adaptive skill suite that empowers Clawdbot to act as a versatile coder, business analyst, project manager, web developer, data analyst, and NAS metadata scraper. It intelligently discovers free resources, adapts to user context, and ensures reliable, proven guidance across multiple domains.
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🛡️ Query AdGuard Home instances for DNS statistics, blocked domains, and client activity 🛡️ 查询 AdGuard Home 实例的 DNS 统计、拦截域名和客户端活动
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。
Inspired by the ClawIntelligentMemory project, this skill ensures Kim Assistant's environment stays clean and its memory stays dense.
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。
This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.
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You are an academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing. You must adhere to strict academic standards in all outputs.## Core Requirements1. **Output Format**: Use Markdown exclusively for all writing outputs and always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core i...
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。
Deploy smart contracts and bridge assets to Abstract (ZK Stack L2). Use when an agent needs to deploy contracts on Abstract, bridge ETH/tokens to Abstract, trade/swap tokens, check balances, transfer assets, or interact with Abstract mainnet. Covers zksolc compilation, Hardhat deployment, Relay bridging, DEX trading, and key contract addresses.
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。
Deploy smart contracts and bridge assets to Abstract (ZK Stack L2). Use when an agent needs to deploy contracts on Abstract, bridge ETH/tokens to Abstract, trade/swap tokens, place predictions on Myriad Markets, check balances, transfer assets, or interact with Abstract mainnet. Covers zksolc compilation, Hardhat deployment, Relay bridging, DEX trading (Kona, Aborean), Myriad prediction markets, and key contract addresses.
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。
View, create, cancel, bid, and claim Aavegotchi GBM auctions on Base mainnet (8453). Subgraph-first discovery (Goldsky), with onchain verification + execution via Foundry cast. Safety-first: DRY_RUN defaults to 1 (simulate with cast call; only broadcast with cast send when DRY_RUN=0 and explicitly instructed).
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View, add, and execute Aavegotchi Baazaar listings on Base mainnet (8453). Buy with GHST directly or buy with USDC using swapAndBuy*. Safety-first: dryRun defaults true (simulate with cast call; only broadcast with cast send when dryRun=false / DRY_RUN=0).
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Operate Aavegotchi Gotchiverse player workflows on Base mainnet (8453): alchemica channeling, surveying and harvesting, crafting installations/tiles, building on parcels (equip/unequip/move/batch equip), installation upgrades, craft/upgrade queue management, and parcel access-right management. Use when interacting with Realm/Installation/Tile diamonds via subgraph-first discovery and onchain verification/execution with Foundry cast.
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Query China Railway 12306 for train schedules, remaining tickets, and station info. Use when user asks about train/高铁/火车 tickets, schedules, or availability within China.
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Adopt better-result in an existing TypeScript codebase. Use when replacing try/catch, Promise rejection handling, null sentinels, or thrown domain exceptions with typed Result workflows.
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Use when morphir-scala work needs environment diagnostics or build/network/sandbox unblocking; reference repository management; branch lifecycle refresh after squash-merging a target branch into main; Morphir IR spec/schema sync or export; or task-tracking configuration and beads mode resolution.
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。
Concise communication mode. Cuts ~60-70% of output tokens while keeping natural, readable English. Drops filler, hedging, and pleasantries but maintains grammar and sentence flow. Elaborate on request -- ask for detail and get it, then auto-return to concise. Use when user says "concise mode", "be concise", "less verbose", or invokes /concise. Also triggers when user requests token efficiency with readability.
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Maintain SESSION-STATE.md, the durable within-session memory that survives context compaction. Use when a constraint, settled decision, existing-infrastructure (survey) finding, or open thread must persist across a long session so it is not re-derived or re-litigated. Triggers on /state, "remember this for the session", "record this constraint/decision", or after surveying what already exists. For cross-session/personal memory use .claude/memory/ on Claude or native memories on Codex; for repo-derivable facts, do not record at all.
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。
Auto-assembles a domain-specific expert panel (7–10 experts), scores any content or strategy artifact against a typed rubric, and iterates until the aggregate hits 90+ (max 3 rounds). Use as a quality gate on copy, email sequences, landing-page drafts, strategy docs, charts, titles, or recruiting evaluations — or when another skill needs a final review gate on its output. Triggers on "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "expert score", "evaluate this copy/strategy/page". For variant generation and multi-round conversion optimization see autoresearch; for live-URL CRO auditing see conversion-ops; for the scripted content-production pipeline see content-pipeline.
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Structures a vague engineering request into a well-scoped task brief before any implementation begins. Use when the user has an engineering goal but the ask is missing which repos are in scope, what "done" means, constraints, or open questions. Triggers on "shape this", "scope this out", "frame this work", "write a brief for", "I want to build" (with unclear scope), or the /shape slash command. Produces a filled task template (multi-repo feature, single-repo change, investigation, or bugfix). Not for already-scoped work — go straight to execution. If the domain is unclear, ask one qualifying question before routing — for marketing intake see marketing-shaper, game-design intake see game-design-shaper.
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-of-session pass that persists durable facts from the CURRENT session into .claude/memory/. Runs IN-SESSION in the main agent (never via Task — a subagent starts cold with no transcript), prompted by the Stop hook's nudge. Triggers on "persist durable facts from this session", "run memory-extraction", "flush session memory", or "extract memory before close". Reads the in-context transcript plus existing memory, applies the durable-fact predicate below, and writes one file per fact plus one MEMORY.md index line — append-or-update, never clobbering a consumer's existing memory.
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。
Coordinates release preparation for your monorepo — maintaining CHANGELOG and the release assessment document, resolving merge conflicts on release branches, and communicating status, risk, and asks to the broader team. Use when the user mentions release manager, release train, cut a release, release branch, CHANGELOG, release assessment, monorepo release, merge conflicts during release, versioning, or coordinating a version bump with engineering and stakeholders.
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。