Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
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Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
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Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
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为 OpenClaw 配置 MiniMax 作为模型源。MiniMax 提供两种接入方式:API Key 直连(openai-completions 协议)和 OAuth 门户(anthropic-messages 协议)。包含 provider 注册、模型定义、别名配置、fallback 链接入和验证的完整流程。当管理员说想"加 MiniMax"、"配 minimax"、"接入 MiniMax 模型"、"加海螺模型"、"配 M2.1"时使用此 skill。
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为 OpenClaw 配置硅基流动 (SiliconFlow) 作为模型源。SiliconFlow 是国内领先的 AI 模型推理平台,提供 98+ 个 chat 模型,包含多个免费模型(Qwen3-8B、DeepSeek-R1-8B 等)。使用标准 OpenAI 协议(openai-completions)。包含 provider 注册、模型定义、别名配置、fallback 链接入和验证的完整流程。当管理员说想"加硅基流动"、"配 SiliconFlow"、"接入 SF 模型"、"加 Kimi"、"加 Qwen3"、"加免费模型"、"接入 DeepSeek V3.2"时使用此 skill。
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Add a text watermark to one or multiple PDFs by uploading them to the Solutions API, polling until completion, then returning download URL(s) for the watermarked PDF(s) (or a ZIP if multiple).
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Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
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Use when preparing or writing any committable deliverable (phase closeout, status report, skill file, wave spec, README section, summary document, CHANGELOG entry, or any markdown file declaring completion or pass/fail status). Applies before the write happens, not after. Without this discipline, agents ship 60% deliverables and declare closure prematurely.
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Design, implement, or review the dygo framework CLI in Go with Cobra. Use for commands, flags, help, prompts, plans, output contracts, completion, and project-aware CLI behavior. Do not use for operating a deployed business through the reserved dygo-cli operator skill.
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Tracks iteration progress toward task completion goals. Monitors quality trends, detects plateauing, and recommends when to stop iterating. Activate on 'convergence tracking', 'iteration progress', 'quality trend', 'stop iterating', 'progress monitoring'. NOT for iteration detection (use dag-iteration-detector) or feedback synthesis (use dag-feedback-synthesizer).
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Writes a lightweight Markdown concept handoff from existing decisions and evidence. Use when explicitly asked for a developer handoff, to transfer a prototype or concept to another team, or to prepare a brief for implementation. Not for ordinary prototype completion, building, reviewing or publishing.
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Reliable progress watching for long-running background commands (training runs, live audits, batch jobs, CI) without losing output to stdout buffering. Prefer post-completion cat-and-grep over tail -F.
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Watch a CI run's jobs to completion without idling or hand-writing a poll loop. Use when a dispatched or pushed build takes minutes to finish and its per-job results decide the next step.
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Coordinates staged or parallel jobs across live-verified coding-agent runtimes (Claude Code, Codex, Cursor, and other installed CLIs) and in-session toolkit subagents. Routes each job by capability and risk tier, isolates parallel writers in git worktrees, captures redacted output, resumes interrupted runs, and blocks completion until an independent arbiter verifies the results. Use when work should be split across multiple runtimes or subagents, run as staged or parallel jobs, and reviewed before handoff. NOT for a single-agent task or the in-session 7-phase flow (use mk:cook / mk:workflow-orchestrator).
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Spec-Driven Development workflow — enforces sdd/ folder hierarchy with planning-first gates, current-state artifacts, and completion verification
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Disciplined goal-to-execution workflow for any user task. Parses objective, asks only for materially missing requirements via ambiguity-gate, inspects repo via idea, plans via sdd-dev or deep-plan, executes safely under project conventions, verifies completion per R020, and reports changed files with evidence. Use when user invokes /goal <task>.
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Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
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Finish an authorized security research task with a durable solved, abstained, or blocked outcome. Use when evidence is sufficient, a stop condition is reached, a tool budget is nearly exhausted, or the agent must commit its best supported answer.
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Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
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Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
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Map requirement acceptance to proportionate executable checks and real user journeys before implementation and completion.
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Orchestrator - spawns an autonomous orchestrator agent that decomposes a task into subtasks and drives multiple Claude agents to completion. Use when: overmind, orchestrate, multi-agent, delegate, spawn agents, break down task, run agents.
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[Code Quality] Use when evaluating received review feedback, reviewing named code on request, or verifying a completion claim. Current diffs: changes-review; rationale: why-review.
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