refined-english
claudeConcise technical English writing skill
1 skill
精炼现代书面语输出技能
Plugin refined-chinese from marketplace llm-writing-skills in Kevin0412/llm-writing-skills. Commands read from the repo's manifest — 1 month ago.
refined-chinese当用户要求以精炼现代书面语回复、降低token冗余、压缩口语化表达时触发。适用场景包括:技术文档写作、项目汇报、算法题解、README撰写、任何需要紧凑专业书面中文的输出。触发词包括"精炼书面语""书面语""压缩回复""去冗余""精简中文""书面风格",或用户粘贴此系统提示词要求应用时。即便用户未明确提及,只要任务为中文技术写作或正式文档,亦应主动应用此风格。
Concise technical English writing skill
1 skill
AgentDB (external: maintained in ruvnet/agentdb, pinned to commit 27678c3, plugin 3.6.0): agentdb's own standalone MCP server pinned to [email protected] (vector memory with get/list/update/delete for records, patterns and skills, hybrid keyword + vector episode search and an opt-in local cross-encoder, an opt-in aidefence injection guard on memory writes, reflexion, skills, outcome feedback, capabilities report), a memory-specialist agent, 3 skills, /agentdb-status, and the agentdb mod guard that keeps secrets out of memory and refuses delete/reset unless allowed. Complements ruflo-agentdb, which reaches AgentDB through ruflo's server
3 skills · 1 command · 1 agent · 1 MCP server
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
OpenAPI specification generation, Mermaid diagram creation, tutorial writing, API reference documentation
3 skills · 1 command · 5 agents
Provision direct cloud access (Vertex AI, Bedrock, or LLM gateway) for the Claude Microsoft 365 add-in. Generates the customized manifest, walks through Azure admin consent, and writes per-user config via Graph extension attributes.
1 skill · 9 commands
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
6 skills · 8 commands · 4 agents · hooks
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