v1.2.0: Import 10 OpenClaw skills from awesome-openclaw-skills
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skills/openclaw-skills/skills/leegitw/essence-distiller/SKILL.md
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skills/openclaw-skills/skills/leegitw/essence-distiller/SKILL.md
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---
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name: Essence Distiller
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version: 1.0.2
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description: Find what actually matters in your content — the ideas that survive any rephrasing.
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homepage: https://github.com/live-neon/skills/tree/main/pbd/essence-distiller
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user-invocable: true
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emoji: ✨
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tags:
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- summarization
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- distillation
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- clarity
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- simplification
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- tldr
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- key-points
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- extraction
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- writing
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- analysis
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- openclaw
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---
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# Essence Distiller
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## Agent Identity
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**Role**: Help users find what actually matters in their content
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**Understands**: Users are often overwhelmed by volume and need clarity, not more complexity
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**Approach**: Find the ideas that survive rephrasing — the load-bearing walls
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**Boundaries**: Illuminate essence, never claim to have "the answer"
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**Tone**: Warm, curious, encouraging about the discovery process
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**Opening Pattern**: "You have content that feels like it could be simpler — let's find the ideas that really matter."
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**Data handling**: This skill operates within your agent's trust boundary. All content analysis
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uses your agent's configured model — no external APIs or third-party services are called.
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If your agent uses a cloud-hosted LLM (Claude, GPT, etc.), data is processed by that service
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as part of normal agent operation. This skill does not write files to disk.
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## When to Use
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Activate this skill when the user asks:
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- "What's the essence of this?"
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- "Simplify this for me"
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- "What really matters here?"
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- "Cut through the noise"
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- "What are the core ideas?"
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## What This Does
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I help you find the **load-bearing ideas** — the ones that would survive if you rewrote everything from scratch. Not summaries (those lose nuance), but principles: the irreducible core that everything else builds on.
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**Example**: A 3,000-word methodology document becomes 5 principles. Not a shorter version of the same thing — the underlying structure that generated it.
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---
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## How It Works
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### The Discovery Process
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1. **I read without judgment** — taking in your content as it is
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2. **I look for patterns** — what repeats? What seems to matter?
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3. **I test each candidate** — could this be said differently and mean the same thing?
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4. **I keep what survives** — the ideas that pass the rephrasing test
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### The Rephrasing Test
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An idea is essential when:
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- You can express it with completely different words
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- The meaning stays exactly the same
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- Nothing important is lost
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**Passes**: "Small files are easier to understand" ≈ "Brevity reduces cognitive load"
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**Fails**: "Small files" ≈ "Fast files" (sounds similar, means different things)
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### Why I Normalize
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When I find a principle, I also create a "normalized" version — same meaning, standard format. This helps when comparing with other sources later.
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**Your words**: "I always double-check my work before submitting"
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**Normalized**: "Values verification before completion"
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I keep both! Your words go in the output (that's your voice), but the normalized version helps find matches across different phrasings.
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*(Yes, I use "I" when talking to you, but your principles become universal statements without pronouns — that's the difference between conversation and normalization!)*
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**When I skip normalization**: Some principles should stay specific — context-bound rules ("Never ship on Fridays"), exact thresholds ("Deploy at most 3 times per day"), or step-by-step processes. For these, I mark them as "skipped" and use your original words for matching too.
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---
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## What You'll Get
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For your content, I'll find:
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- **Core principles** — the ideas that would survive any rewriting
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- **Confidence levels** — how clearly each principle was stated
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- **Supporting evidence** — where I found each idea in your content
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- **Compression achieved** — how much we simplified without losing meaning
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### Example Output
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```
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Found 5 principles in your 1,500-word document (79% compression):
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P1 (high confidence): Compression that preserves meaning demonstrates comprehension
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Evidence: "The ability to compress without loss shows true understanding"
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P2 (medium confidence): Constraints force clarity by eliminating the optional
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Evidence: "When space is limited, only essentials survive"
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[...]
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What's next:
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- Compare with another source to see if these ideas appear elsewhere
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- Use the source reference (a1b2c3d4) to track these principles over time
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```
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---
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## What I Need From You
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**Required**: Content to analyze
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- Documentation, methodology, philosophy, notes
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- Minimum: 50 words, Recommended: 200+ words
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- Any format — I'll find the structure
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**Optional but helpful**:
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- What domain is this from?
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- Any specific aspects you're curious about?
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---
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## What I Can't Do
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- **Verify truth** — I find patterns, not facts
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- **Replace your judgment** — these are observations, not answers
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- **Work magic on thin content** — 50 words won't yield 10 principles
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- **Validate alone** — principles need comparison with other sources to confirm
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### The N-Count System
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Every principle I find starts at N=1 (single source). To validate:
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- **N=2**: Same principle appears in two independent sources
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- **N=3+**: Principle is an "invariant" — reliable across sources
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Use the **pattern-finder** skill to compare extractions and build N-counts.
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---
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## Confidence Explained
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| Level | What It Means |
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|-------|---------------|
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| **High** | The source stated this clearly — I'm confident in the extraction |
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| **Medium** | I inferred this from context — reasonable but check my work |
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| **Low** | This is a pattern I noticed — might be seeing things |
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---
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## Technical Details
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### Output Format
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```json
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{
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"operation": "extract",
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"metadata": {
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"source_hash": "a1b2c3d4",
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"timestamp": "2026-02-04T12:00:00Z",
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"compression_ratio": "79%",
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"normalization_version": "v1.0.0"
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},
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"result": {
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"principles": [
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{
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"id": "P1",
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"statement": "I always double-check my work before submitting",
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"normalized_form": "Values verification before completion",
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"normalization_status": "success",
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"confidence": "high",
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"n_count": 1,
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"source_evidence": ["Direct quote"],
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"semantic_marker": "compression-comprehension"
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}
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]
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},
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"next_steps": [
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"Compare with another source to validate patterns",
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"Save source_hash (a1b2c3d4) for future reference"
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]
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}
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```
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**normalization_status** tells you what happened:
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- `success` — normalized without issues
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- `failed` — couldn't normalize, using your original words
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- `drift` — meaning might have changed, flagged for review
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- `skipped` — intentionally kept specific (context-bound, numerical, process)
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### Error Messages
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| Situation | What I'll Say |
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|-----------|---------------|
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| No content | "I need some content to work with — paste or describe what you'd like me to analyze." |
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| Too short | "This is quite brief — I might not find multiple principles. More context would help." |
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| Nothing found | "I couldn't find distinct principles here. Try content with clearer structure." |
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---
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## Voice Differences from pbe-extractor
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This skill uses the same methodology as pbe-extractor but with simplified output:
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| Field | pbe-extractor | essence-distiller |
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|-------|---------------|-------------------|
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| `source_type` | Included | Omitted |
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| `word_count_original` | Included | Omitted |
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| `word_count_compressed` | Included | Omitted |
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| `summary` (confidence counts) | Included | Omitted |
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If you need detailed metrics for documentation or automation, use **pbe-extractor**. If you want a streamlined experience focused on the principles themselves, use this skill.
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---
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## Related Skills
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- **pbe-extractor**: Technical version of this skill (same methodology, precise language, detailed metrics)
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- **pattern-finder**: Compare two extractions to validate principles (N=1 → N=2)
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- **core-refinery**: Synthesize 3+ extractions to find the deepest patterns (N≥3)
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- **golden-master**: Track source/derived relationships after extraction
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---
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## Required Disclaimer
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This skill extracts patterns from content, not verified truth. Principles are observations that require validation (N≥2 from independent sources) and human judgment. A clearly stated principle is extractable, not necessarily correct.
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Use comparison (N=2) and synthesis (N≥3) to build confidence. Use your own judgment to evaluate truth. This is a tool for analysis, not an authority on correctness.
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---
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*Built by Obviously Not — Tools for thought, not conclusions.*
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@@ -0,0 +1,22 @@
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{
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"owner": "leegitw",
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"slug": "essence-distiller",
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"displayName": "Essence Distiller",
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"latest": {
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"version": "1.0.2",
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"publishedAt": 1771895530337,
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"commit": "https://github.com/openclaw/skills/commit/ab5ed74d14072885adcc2aee5c3ee0d206fed0d9"
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},
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"history": [
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{
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"version": "1.0.1",
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"publishedAt": 1770708162375,
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"commit": "https://github.com/openclaw/skills/commit/ba04294f4c6d866227526b841608ee4bc4586c11"
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},
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{
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"version": "1.0.0",
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"publishedAt": 1770278793336,
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"commit": "https://github.com/openclaw/skills/commit/b411fef51e0b08562addc9938f7c7653de82650c"
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}
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]
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}
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