做什么
在现有OD Next计划内编写所需媒体投入。 重新使用能力证据,有效获取和计量资产,在不删除所需内容或削弱质量标准的情况下解决同步工作.
技能库 智客分类:Agent 工作流 od-next-media-inputs
在现有OD Next计划内编写所需媒体投入。 重新使用能力证据,有效获取和计量资产,在不删除所需内容或削弱质量标准的情况下解决同步工作.
官方网址:GitHub
先看中文介绍;官方 description 原文单独保留,不改写 SKILL.md。
在现有OD Next计划内编写所需媒体投入。 重新使用能力证据,有效获取和计量资产,在不删除所需内容或削弱质量标准的情况下解决同步工作.
官方 description 未单独写出 Use when。按规范,代理会在用户任务与这段 description 的关键词匹配时激活本技能。
按 Agent Skills 渐进披露:启动时只加载 name 与 description(约 100 token);任务匹配后才读入整份 SKILL.md 正文;scripts/、references/、assets/ 仅在需要时再读。 本文件正文结构:OD Next Media Inputs、Preserve the required slots、Reuse capabilities and recover by cause、Batch independent input work、Collect results and stop when complete。
文件分析:这是一份仅含 SKILL.md 的指令型技能,代理激活后整份正文进入上下文。
Prepare required media inputs within an existing OD Next plan. Reuse capability evidence, acquire and measure assets efficiently, and resolve asynchronous jobs without removing required content or weakening quality standards.
OD Next Media InputsPreserve the required slotsReuse capabilities and recover by causeBatch independent input workCollect results and stop when complete
来源分类:GitHub skill
市场来源:GitHub
nameod-next-media-inputsdescription具体调用语法与可用工具以目标 Agent 客户端为准。 查看调用机制说明 ↗
先选择目标 Agent 和安装范围,保留技能包的附属文件,安装后检查客户端能否发现该技能。
复制安装指令给支持 Agent Skills 的代理,确认其中的目标目录与客户端匹配。
把 Agent Skill「od-next-media-inputs」安装到我的项目:SKILL.md 原文与官方 description 见 https://zicq.com/zh/skills/skl-59e94315270a29ff-Od-Next-Media-Inputs.html 请存为 .cursor/skills/od-next-media-inputs/SKILL.md 或 .claude/skills/od-next-media-inputs/SKILL.md,frontmatter 的 name 与 description 保持原样,不要改写。
需要 Node.js 与 npx。先查看仓库技能列表,确认实际名称。
npx skills add 'https://github.com/nexu-io/open-design/tree/HEAD/skills/od-next-media-inputs' --list
npx skills add 'https://github.com/nexu-io/open-design/tree/HEAD/skills/od-next-media-inputs' --skill 'od-next-media-inputs'
CLI 会交互选择目标 Agent,默认安装到项目;用户级安装使用 -g。先通过查看命令核对仓库内容,再用 npx skills list 检查已安装技能。
name: od-next-media-inputs en_name: "OD Next Media Inputs" zh_name: "OD Next 素材输入" description: | Prepare required media inputs within an existing OD Next plan. Reuse capability evidence, acquire and measure assets efficiently, and resolve asynchronous jobs without removing required content or weakening quality standards. triggers:
Use only when the current task needs media inputs. Reuse these instructions
while applicable; do not load them for tasks without asset work. Follow the
current route, stage, frozen plan, and delivery boundary. During
contract_repair, make no tool calls. Finish required input work before the
deliverable write that depends on it. Never label post-write artifact
inspection, rendering, validation, or repair as input preparation to bypass
ship-on-write.
Use the frozen asset requirements in the existing working context: purpose, subject, source/license constraints, geometry, reuse positions, and readiness. Reuse suitable user assets and the same asset across pages. Deduplicate work, not distinct subjects or required states. Do not add a new plan, manifest, approval step, or review Agent. Preserve every required asset and quality condition, including semantic fit, authenticity, licensing, local or inline references, and image geometry. Do not hotlink or fabricate real referents.
Use only tools, model IDs, parameters, and permissions actually provided for this run. Reuse complete, valid capability results. Query only missing, truncated, or invalidated facts; refresh relevant facts when the environment, authorization, or an error changes the decision. A catalogue entry alone does not prove authorization or readiness. Do not guess tool/model names or expose credential values.
Classify failures before retrying:
Retry only when the change addresses the cause, the relevant state changes, or existing guidance permits retrying a temporary failure. Do not impose a new tool-count cap or sacrifice quality to reduce calls.
When the tools support it and inputs are independent, batch search, fetch, download, format handling, and intrinsic width/height measurements. Preserve each item's result and failures; keep dependent requests ordered. Reuse valid measurements for unchanged files; after transformation, remeasure affected files before sizing their containers. HTTP success and file/size probes do not prove semantic fit. A read invocation alone does not prove the image was seen.
Retain each actual job ID, status, returned cursor, original response, and output location. Use only supported wait or batch operations. Submission and exit success alone do not prove generation finished. Stop polling a job after an explicit terminal result with complete output/error information; a failed or interrupted terminal result is not a usable asset. Continue necessary retrieval for running jobs, incomplete results, or new errors. Parse the saved response again instead of requesting it merely to change formatting.
Stop acquiring assets when all required slots satisfy their content and input conditions. If a required asset remains unavailable, follow the existing fallback/failure contract and preserve uncertainty; never declare completion just because fewer calls were made.
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