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spike

Run throwaway prototypes to validate feasibility, compare approaches, and report a verdict.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=openclaw-openclaw-skills-spike-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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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.
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nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
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exported_atExported at (set per download)
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model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
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.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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