optimize-simplicite-logs
capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.
Profile →npx skills add github/awesome-copilot --skill optimize-simplicite-logs --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Optimize Simplicite Logs This skill provides the capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON. This is critical for optimizing AI context size (saving ~56% of tokens) and providing structured, predictable data for troubleshooting. ## When to Use This Skill Use this skill when you need to: - Analyze user-provided Simplicité log files in `.txt` format. - Avoid ingesting massive raw log files into your context window. - Extract structured fields (like `timestamp`, `level`, `body`) from verbose multi-line log output. **IMPORTANT:** Instead of directly reading a raw `.txt` log file provided by the user using file read tools, you **must** use one of the log converter scripts (PowerShell or Python) to parse the file into a JSON format first, optionally extracting only the fields needed. ## Prerequisites - Access to either the PowerShell script (`/scripts/SimpliciteLog2Json.ps1`) or the Python script (`/scripts/simplicite-log2json.py`). ## Core Capabilities ### 1. Context Optimization Reduces the tokens consumed by large Simplicité logs by extracting only relevant log fields (e.g. `body`, `timestamp`,
- When to Use This Skill
- Prerequisites
- Core Capabilities
- 1. Context Optimization
- 2. Multi-line Support
- 3. Stdout Support
- Output Summary
- Usage Examples
- Example 1: Python Version (Recommended)
- Example 2: PowerShell Version
- Guidelines
- Common Patterns
- Pattern: Fast Contextual Troubleshooting
- Limitations
python /absolute/path/to/skills/optimize-simplicite-logs/scripts/simplicite-log2json.py <input.txt> --include timestamp,level,body --output <output.json> python /absolute/path/to/skills/optimize-simplicite-logs/scripts/simplicite-log2json.py logs.txt --include timestamp,level,body --output logs_minified.json
What does the optimize-simplicite-logs skill do?
capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.
How do I install it?
Run `npx skills add github/awesome-copilot --skill optimize-simplicite-logs --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.