4.9万 个 · 按相关度排序
Create reusable agent skills, install them from URLs or local files, and update existing packages. Guides the structure of SKILL.md, supporting scripts and templates, naming, and optional format checks so agents can follow clearly defined workflows.
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Turn recurring tasks into reusable agent skills, or improve skills you already have. Draft instructions, compare test outputs with and without a skill, review quality and resource use, and refine descriptions so skills trigger for appropriate requests.
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Turn repeated workflows into reusable Picoclaw skills, or update and review existing ones. Organize SKILL.md instructions, scripts, reference documents, and output assets, then check the structure and test representative tasks.
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Find installable agent skills for a specific task, check their sources and adoption, and present relevant options with explanations, links, and installation commands. Help install a selected skill when the user wants to proceed.
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Analyze recent work history and recurring frustration to identify problems that existing skills or workflows do not address. Receive a ranked shortlist of new skill ideas, with supporting evidence, for deciding what to build next.
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Build and refresh an index of available skills, including when to use each one and its exact file path. Resolve duplicate entries and give agents a current reference after skills are added, removed, moved, or renamed.
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Manage a shared skill library for Claude Code, Codex, Cursor, and other agents. Search, install, update, and deploy skills to selected agents, organize reusable groups and tags, and check where each skill is available.
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Update installed SenseNova Skills in OpenClaw or hermes-agent, either as a complete bundle or as selected skills. Compare versions before replacing files, back up existing installations, and report which skills changed or were already current.
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Create or repair Claude skills in the current local environment. Clarify when each skill should run, streamline SKILL.md, organize supporting files, and check that referenced resources exist so the instructions remain consistent and reusable.
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Skill 进化器（饕餮）— 通过"吞噬"并分析其他 skill 的优势来强化目标 skill。 当用户想要：整合两个 skill、用一个 skill 优化另一个、对比分析两个 skill 的优劣、 把某个 skill 的优点提炼到另一个 skill 中、或者说"把 X 喂给 Y"、"用 X 来优化 Y"、 "整合这两个 skill"、"吃掉这个 skill"、"skill 进化"、"skill 升级"、"合并 skill" 等意图时，必须触发此 skill。即使用户没有明确说"饕餮"，只要涉及到两个 skill 之间的 能力迁移、对比分析、或优势提取，都应该使用此 skill。
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Scaffold a new SciAgent-Skills entry. Picks pipeline/toolkit/database/guide template, creates skills/{category}/{name}/SKILL.md with valid frontmatter, appends the registry.yaml entry, runs validation. Enforces name uniqueness, kebab-case, description keyword rules, schema rules from AGENTS.md. TRIGGER when user says (any language): "add a SciAgent skill", "add a skill for <X>", "create new skill", "create a SKILL.md for <X>", "scaffold a skill", "new skill entry", "register a skill", "신규 skill 추가", "스킬 만들어줘", "스킬 생성", "skill 만들어", or any request to add a new SKILL.md to this repo. ALWAYS invoke this skill BEFORE writing to skills/ or registry.yaml. DO NOT TRIGGER when: editing existing entry's content (just edit the file directly); migrating an existing entry (read AGENTS.md "Migrating from Existing Entries" first); only updating registry.yaml without creating a new SKILL.md.
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Erstellt oder überarbeitet einen Skill FÜR DIESES ÖKOSYSTEM: delegiert die generische Interview-/Entwurfs-/Eval-Schleife an das offizielle skill-creator-Plugin (Anthropic, Apache-2.0), setzt aber zusätzlich die ellmos-Anforderungen durch, die das offizielle Plugin nicht kennt — Haus-Frontmatter (9 Felder), Kategorie/Sichtbarkeits-Regeln, anbieter-/nutzer-/ellmos-neutrale aber ellmos-sensitive Erkennung via grounding-seed, mitgelieferte config.json (inkl. Lernvertrag) + connections.json, Anbieter-/Vendor-Bewusstsein (State-of-the-Art-Alternativen inkl. eigener ellmos-Komponenten vorschlagen), einen Selbstaktualisierungs-Abschnitt UND einen wiederverwendbaren Lern-/Abdeckungs-Dateisatz (user-usecases.json, usecase-gaps.json, known-providers-and-abilities.json, gap-closing-analysis.json — an skill-creators evals.json und A2A/AgentSkill angelehnt, kein Parallelstandard). IMMER nutzen, wenn ein NEUER Skill für dieses System entstehen oder ein bestehender auf ellmos-Konformität nachgerüstet werden soll — auch bei "erstelle einen Skill", "bau mir einen Skill für X", "skill-creator nutzen", "neuen Skill anlegen", "diesen Skill ellmos-konform machen", "Lernvertrag/Verhaltenscodex für einen Skill anlegen", "Usecase-Abdeckung eines Skills prüfen". Für reines Skill-FINDEN/ROUTEN stattdessen skill-finder, für Landschafts-Audit skill-explorer.
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Matches natural language task descriptions to appropriate skills using semantic similarity, ranks candidates by fit and performance history, and maintains the skill catalog. Use when assigning skills to DAG nodes, searching for the right skill for a task, ranking competing skills, or browsing the skill catalog. Activate on "find skill", "match skill", "which skill", "skill for this task", "skill catalog", "rank skills", "best skill". NOT for executing DAGs (use dag-runtime), creating skills (use skill-architect), or grading skills (use skill-grader).
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帮助新建或修改智能体技能，明确调用条件、预期结果和文件组织方式，并验证SKILL.md配置、引用路径及修改过的辅助脚本。
按照统一规范创建或修改随Hermes Agent仓库分发的技能，涵盖存放位置、SKILL.md结构、系统兼容性检查、测试和相关文档更新。
用于试验一个技能调用另一个技能的示例。运行专用命令后，会在内部调用另一个随附技能，可用于检查随附技能注册表的技能串联功能。
Create or improve Claude skills that package specialized knowledge, repeatable workflows, and tool instructions. The guide covers planning SKILL.md and supporting files, generating a starter folder, validating the structure, and packaging the result as a distributable ZIP.
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Find agent skills for a specific task, compare candidates using their capabilities, sources, and installation history, and install a selected skill into Cherry after the user has expressed an intent to install it.
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Finds and installs Claude Code skills based on the task you want to accomplish. It prioritizes existing options, presents sources for review, and coordinates creation and validation of a custom skill when a reusable workflow is needed.
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Design and improve DeepTutor skills by turning concrete usage examples into reusable instructions. Learn how to write descriptions that signal when to use a skill, structure SKILL.md, and separate supporting reference material.
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Create or update Claude skills that capture specialized knowledge and repeatable workflows. Guides the organization of instructions, scripts, references, and templates, then covers initialization, validation, and packaging into a distributable skill file.
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Manage local SKILL.md files with commands for listing, searching, creating, editing, removing, and comparing skills. A guided setup helps organize user and project skills, while validation checks file structure and required metadata.
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Turn a feature into an agent skill or improve an existing one. Define purpose-specific quality criteria, review outputs with models from three providers, then add tests and check that user requests reach the intended skill.
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Create or update Claude skills that capture specialized knowledge and repeatable workflows. Guides the organization of instructions, scripts, references, and templates, then covers initialization, validation, and packaging into a distributable skill file.
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