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OpenClaw AI 技能

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Tech Tutorv0.1.0
Your Socratic learning companion for deep understanding of CS and AI technologies. Invoke when user wants to truly understand a topic, deconstruct a p
0 0 0by @leogoat2004
Vox Directorv1
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg — script, collage keyfra
0 0 0by @alisa0808
hitchpediav0.2.0
Curl-bare Datenbank geprüfter Fixes für wiederkehrende Agenten-Fehler (MCP, Tool-Calling, RAG, Docker/CI, Shell- & Umgebungs-Gotchas). Nutze sie, SOBA
0 0 0by @readysoon
Social Arbitragev1.0.0
Research current social, consumer, technology, cultural, weather, supply, and perception shifts and map them to U.S.-listed equities using a Chris Cam
0 0 0by @jiahongc
redact-piiv1.0.0
Detect and mask PII in-line via ZeroGPU, replacing it with label placeholders like [PERSON] and [EMAIL]. Use when the user asks to redact, scrub, mask
0 0 0by @zerogpu
extract-piiv1.0.0
Extract PII entities from text via ZeroGPU. Use when the user wants to find personally identifiable information — names, emails, phones, addresses, fi
0 0 0by @zerogpu
extract-jsonv1.0.0
Schema-driven structured JSON extraction via ZeroGPU. Use when the user wants to pull specific named fields out of free text into a JSON object — cont
0 0 0by @zerogpu
extract-entitiesv1.0.0
Custom-label named-entity recognition via ZeroGPU. Use when the user wants to extract entities with their own labels — people, organizations, location
0 0 0by @zerogpu
classify-zero-shotv1.0.0
Zero-shot classification against a caller-supplied list of candidate labels via ZeroGPU. Use when the user wants to classify text into a custom set of
0 0 0by @zerogpu
classify-structuredv1.0.0
Multi-axis classification using a JSON schema mapping categories to allowed labels via ZeroGPU. Use when the user wants to classify text along several
0 0 0by @zerogpu
classify-iabv1.0.0
Classify text against the IAB content/audience taxonomy via ZeroGPU. Use when the user asks for IAB categories, ad-taxonomy labels, or "what topic is
0 0 0by @zerogpu
classify-iab-enrichedv1.0.0
Enriched IAB classification via ZeroGPU — returns audience categories plus topics, keywords, and inferred intent. Use when the user wants richer ad/au
0 0 0by @zerogpu
chat-thinkingv1.0.0
Chat with ZeroGPU's Thinking variant (LFM2.5-1.2B-Thinking), which returns visible reasoning alongside the answer. Use when the user wants the model's
0 0 0by @zerogpu
Breakdown Connectivityv1.0.0
Diagnose Internet, DNS, Wi-Fi, packet loss, latency, endpoint reachability, browser navigation, API, upload, download, MCP, and cloud-tool failures wi
0 0 0by @peacecraft-circuit
summarizev1.0.0
Summarize a passage using a ZeroGPU edge model. Use when the user asks to summarize, condense, TL;DR, or give the gist of an article, email, transcrip
0 0 0by @zerogpu
UniFi Network Diagnosticsv1.0.0
Diagnose a private household UniFi network for Operator and discover non-secret local helper configuration. Use for Wi-Fi, internet, DNS, latency, pac
0 0 0by @catholicbeer
SoundClaw Onboardingv1.0.0
Run the OpenClaw-first SoundClaw readiness check and route operators to the next owned step.
0 0 0by @catholicbeer
Skill Batch Publisherv?
Bulk-publish local OpenClaw skills to ClawHub safely: scans a skills folder,…
0 0 0by @kingaiwork
HALO · A股可信分析框架v1.0.0
HALO V5.0 — A股可信基本面分析框架。Python锁定数据层(100%来自API,绝不编造),AI只做分析判断。 11维度评分:HALO六维(行业调整)+ 成长性 + 护城河 + 滞胀防御 + ESG + 管理层 + 资金面 + 估值 - 风险。 触发:用户要求分析A股股票时。用法:/ha
0 0 0by @lululu811
Benbenjiucai Perspectivev2.6
笨笨的韭菜(B站UP主、投资者)的思维框架与表达方式。 基于2,506篇充电问答+203个视频转录+1188条B站动态+3个合集字幕的深度调研,提炼24个核心心智模型、50条决策启发式和完整的表达DNA。 用途:作为思维顾问,用笨笨的韭菜的视角分析投资问题、审视决策、提供反馈。 当用户提到「笨笨的韭
0 0 0by @lululu811
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