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claude-reflect

Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=bayramannakov-claude-reflect-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name claude-reflect description Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions. Claude Reflect - Self-Learning System A two-stage system that helps Claude Code learn from user corrections. How It Works Stage 1: Capture (Automatic) Hooks detect correction patterns ("no, use X", "actually...", "use X not Y") and queue them to ~/.claude/learnings-queue.json . Stage 2: Process (Manual) User runs /reflect to review and apply queued learnings to CLAUDE.md files. Available Commands Command Purpose /reflect Process queued learnings with human review /reflect --scan-history Scan past sessions for missed learnings /reflect --dry-run Preview changes without applying /reflect-skills Discover skill candidates from repeating patterns /skip-reflect Discard all queued learnings /view-queue View pending learnings without processing When to Remind Users Remind users about /reflect when: They complete a feature or meaningful work unit They make corrections you should remember for future sessions They explicitly say "remember this" or similar Context is about to compact and queue has items Correction Detection Patterns High-confidence corrections: Tool rejections (user stops an action with guidance) "no, use X" / "don't use Y" "actually..." / "I meant..." "use X not Y" / "X instead of Y" "remember:" (explicit marker) Learning Destinations ~/.claude/CLAUDE.md - Global learnings (model names, general patterns) ./CLAUDE.md - Project-specific learnings (conventions, tools, structure) ./CLAUDE.local.md - Personal learnings (machine-specific, gitignored) ./.claude/rules/*.md - Modular rules with optional path-scoping ~/.claude/rules/*.md - Global modular rules ~/.claude/projects/<project>/memory/*.md - Auto memory (low-confidence, exploratory) commands/*.md - Skill improvements (corrections during skill execution) Example Interaction User: no, use gpt-5.1 not gpt-5 for reasoning tasks Claude: Got it, I'll use gpt-5.1 for reasoning tasks. [Hook captures this correction to queue] User: /reflect Claude: Found 1 learning queued. "Use gpt-5.1 for reasoning tasks" Scope: global Apply to ~/.claude/CLAUDE.md? [y/n]
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
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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