spike
Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=openclaw-openclaw-skills-spike-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name spike description Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict. metadata {"openclaw":{"emoji":"🧪"}} Spike Use when the user wants to test an idea before committing to a real build: "spike this", "quick prototype", "is this possible", "compare A/B", "before we build". Do not use when reading docs/code can answer the question, or when the user clearly asked for production implementation. Loop Question: state the concrete feasibility question. Research: read enough docs/source to choose credible approach. Build: create the smallest runnable artifact that validates or invalidates the idea. Stress: try one edge case or failure mode. Verdict: VALIDATED , PARTIAL , or INVALIDATED . Output shape Default workspace: .tmp/openclaw-spikes/<slug> unless user asks for a tracked repo-local path. Repo-local option: spikes/<NNN-slug>/ with README.md and minimal code. Prefer runnable CLI, tiny HTML, one endpoint, or focused test. Avoid package sprawl, Docker, env files, app frameworks, and production cleanup. Multi-spike ideas Split into 2-5 independent questions. Run the riskiest question first. For A/B comparisons, keep inputs equal and measure the same dimensions. Ask before building all variants if the work is more than a small prototype. Verdict format ## Verdict: VALIDATED | PARTIAL | INVALIDATED Question: ... Evidence: exact command/output/measurement. What worked: ... What failed or surprised us: ... Recommendation: ship / adjust / avoid, with the next production step. Rules An invalidated spike is useful when it rules out a path with evidence. Do not merge spike code into production without rewriting it normally. If external dependencies are evaluated, check health: recent release/commit, docs, license, install friction.
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |