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v4-best-practices

Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks. Provides rules to prevent stale references, unverified plan assumptions, and vague plan output.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=hmbown-codewhale-crates-tui-assets-skills-v4-best-practices-skill-md&format=skill
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name v4-best-practices description Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks. Provides rules to prevent stale references, unverified plan assumptions, and vague plan output. V4 Best Practices Rules for multi-step V4 thinking-mode workflows. Each rule prevents a specific, observable failure class. 1. Verify references before writing Before referencing a file path, function, or type in code or plan output, call grep_files or read_file to confirm it exists in the workspace. # Bad: edit_file path="src/config/loader.rs" (assumed from memory) # Good: grep_files pattern="pub fn load_config" → confirms src/config/mod.rs:42 # then reference src/config/mod.rs:42 Failure avoided: edit_file errors on non-existent paths; LSP diagnostics on hallucinated symbols. 2. Spawn a verifier sub-agent before multi-file execution Before executing a plan that touches 3+ files, spawn a deepseek-v4-flash sub-agent (thinking off) to read the target files and confirm path/symbol assumptions still hold. agent type="verifier" model="deepseek-v4-flash" prompt: "Read these files and confirm: [list assumptions]. Report mismatches." Failure avoided: multi-step edits fail partway because file structure changed since the plan was drafted. 3. Plan output must use confirmed path:line references In plan-mode output, replace vague location pointers with path:line references drawn from a prior grep_files result. # Bad: "Update the retry logic in the client module" # Good: "Update retry loop at crates/tui/src/client.rs:187" Failure avoided: agent-mode execution cannot locate the intended edit target when plan directions are imprecise.
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formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
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exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.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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