Official agent skill

Optimize Simplicite Logs

by github in github/awesome-copilot

capability to parse Simplicité logs from a raw .txt file, filter fields to reduce noise, and output the result as structured JSON.

OfficialMITAuto-check passed

Install Optimize Simplicite Logs

skills CLI
$ npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot optimize-simplicite-logs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/optimize-simplicite-logs .claude/skills/optimize-simplicite-logs && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
optimize-simplicite-logs
GitHub stars
40k
Token cost
~935 tokens
SKILL.md length
398 words
Files
3 (incl. scripts)
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

capability to parse Simplicité logs from a raw .txt file, filter fields to reduce noise, and output the result as structured JSON.

  • Works in 3 steps: Context Optimization → Multi-line Support → Stdout Support
  • SKILL.md covers When to Use This Skill, Prerequisites, Core Capabilities and Output Summary, plus 4 more sections
  • Runs PowerShell and Python scripts from its folder; calls python

What it does

Optimize Simplicite Logs is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. capability to parse Simplicité logs from a raw .txt file, filter fields to reduce noise, and output the result as structured JSON.

Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/simplicite-log2json.py`).

It works with PowerShell and Python. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

Example prompts

  • “/optimize-simplicite-logs”

Requirements

  • Python 3
  • PowerShell

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Context Optimization
  2. Multi-line Support
  3. Stdout Support

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (PowerShell and Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Optimize Simplicite Logs loads about 935 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 398 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~935

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 398 words, ~935 tokens.

Download SKILL.mdSave it as .claude/skills/optimize-simplicite-logs/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
optimize-simplicite-logs
description
capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.

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, level) and discarding non-relevant structural log data (like app, endpoint, contextPath).

2. Multi-line Support

Properly captures stack traces and multiline errors inside the body field of the JSON structure, which a simple text search might miss.

3. Stdout Support

If no output path is provided for the JSON file (e.g. omitting --output or -Output), the parsed JSON will be printed directly to stdout, allowing you to pipe the output to other tools.

Show full SKILL.md (156 more words)Show less

Output Summary

After processing, the tool prints a summary to stderr (or console):

Processed: 123 entries, Skipped: 2 entries

Usage Examples

Convert a log file to JSON, keeping only the most important fields:

sh
python /absolute/path/to/skills/optimize-simplicite-logs/scripts/simplicite-log2json.py <input.txt> --include timestamp,level,body --output <output.json>
Example 2: PowerShell Version
powershell
/python /absolute/path/to/skills/optimize-simplicite-logs/scripts/SimpliciteLog2Json.ps1 -InputPath "<input.txt>" -Output "<output.json>" -Include "body,timestamp,level"

After generating the <output.json>, you can safely read the resulting file to perform your analysis.

Guidelines

  1. Always Convert First: Never directly read .txt log files from Simplicité using standard text reading tools. Always convert them to JSON using the available scripts.
  2. Filter Fields: Use --include (Python) or -Include (PowerShell) to restrict fields to what is absolutely necessary to diagnose the issue (usually timestamp,level,body).
  3. Available Fields: The fields you can filter include: timestamp, app, level, endpoint, contextPath, event, user, class, function, rowId, body.

Common Patterns

Pattern: Fast Contextual Troubleshooting
sh
# 1. Run the script to generate a minified JSON output in the current directory
python /absolute/path/to/skills/optimize-simplicite-logs/scripts/simplicite-log2json.py logs.txt --include timestamp,level,body --output logs_minified.json

# 2. Then read logs_minified.json to understand the context.

Limitations

  • The parser depends on a fixed regex pattern that matches the standard Simplicité log output. If the log format has been heavily customized, parsing might fail or degrade.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/optimize-simplicite-logs of github/awesome-copilot.

  • SKILL.md
  • scripts/SimpliciteLog2Json.ps1
  • scripts/simplicite-log2json.py

Open the folder on GitHubat commit 727ff2e

Compare with similar skills

Optimize Simplicite Logs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Optimize Simplicite Logs compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Optimize Simplicite Logs this skillgithub/awesome-copilot40k—~935Automated safety check: PassMIT
Environment SetupNorman-bury/research-writing-skill3.3k—~840Automated safety check: PassMIT
Hf Cloud Sagemaker Iam Preflightwaybarrios/opencode-power-pack533—~1.6kAutomated safety check: PassApache-2.0
Remote Hostslibnativeapi/nativeapi157—~1.3kAutomated safety check: PassMIT
UiPath Project Generatormarcelocruzrpa/uipath-ai-skills108—~6.9kAutomated safety check: PassMIT
Entra Agent Idmicrosoft/GitHub-Copilot-for-Azure2553 repos~4kAutomated safety check: PassMIT

Similar skills

  • Environment Setup

    Norman-bury/research-writing-skill

    A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required

    3.3k GitHub stars~840 tokensUpdated 3 mo ago
    Data & AnalyticsAuto-check passed
  • Hf Cloud Sagemaker Iam Preflight

    waybarrios/opencode-power-pack

    Verify or select a SageMaker execution role before creating models, endpoints, or training jobs.

    533 GitHub stars~1.6k tokensUpdated yesterday
    SecurityAuto-check passed
  • Remote Hosts

    libnativeapi/nativeapi

    Build, run, and GUI-test on another machine over SSH — the user's Windows laptop today, Linux or other macOS machines tomorrow — with one symmetric CLI for every OS: push scripts, run them either in…

    157 GitHub stars~1.3k tokensUpdated today
    MobileAuto-check passed
  • UiPath Project Generator

    marcelocruzrpa/uipath-ai-skills

    Generates UiPath Studio projects, REFramework scaffolds, XAML workflows and expressions through 104 deterministic Python generators instead of hand-written XAML.

    108 GitHub stars~6.9k tokensUpdated 2 mo ago
    Productivity & AutomationAuto-check passed
  • Entra Agent Id

    microsoft/GitHub-Copilot-for-Azure

    Official

    Provision Microsoft Entra Agent Identity Blueprints, BlueprintPrincipals, and per-instance Agent Identities via Microsoft Graph, and configure OAuth 2.0 token exchange (fmipath, OBO, cross-tenant)…

    255 GitHub starsUsed in 3 repos~4k tokens
    Backend & APIsAuto-check passed
  • Local Asr

    ysyecust/lecture-to-notes

    把本地长视频/音频转写成文字稿 + 可选字幕,纯本地(不上传云端),用 sherpa-onnx X-ASR Zipformer transducer 模型(int8 量化、中英双语、自动标点)。已在 macOS Apple Silicon(int8 + AMX,~100× 实时)、Linux ARM64(CPU,~32× 实时)与 Windows(PowerShell…

    269 GitHub stars~1.6k tokensUpdated 4 days ago
    AI & LLM EngineeringAuto-check passed

More from github/awesome-copilot

All 417 skills in this repo
  • Acquire Codebase Knowledge

    github/awesome-copilot

    Official

    Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.

    40k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Azure Architecture Autopilot

    github/awesome-copilot

    Official

    Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.

    40k GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed
  • Draw.io Diagram Generator

    github/awesome-copilot

    Official

    Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.

    40k GitHub starsUsed in 1 repo~4.9k tokens
    Auto-check passed
  • Credit Risk Data Cleaning

    github/awesome-copilot

    Official

    Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.

    40k GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed
  • Daily Focus Board

    github/awesome-copilot

    Official

    Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.

    40k GitHub stars~3k tokensUpdated today
    Auto-check passed
  • Python Pypi Package Builder

    github/awesome-copilot

    Official

    End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.

    40k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Questions about Optimize Simplicite Logs

What does Optimize Simplicite Logs do?

capability to parse Simplicité logs from a raw .txt file, filter fields to reduce noise, and output the result as structured JSON. Optimize Simplicite Logs is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.txt file, filter fields to reduce noise, and output the result as structured JSON.

How do I install Optimize Simplicite Logs in Claude Code?

Run `npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a claude-code`. Or copy the skill folder (skills/optimize-simplicite-logs in github/awesome-copilot) into .claude/skills/optimize-simplicite-logs in your project. Claude Code loads it when a task matches its description.

How do I install Optimize Simplicite Logs in Codex?

Run `npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a codex`. Or copy the skill folder (skills/optimize-simplicite-logs in github/awesome-copilot) into .agents/skills/optimize-simplicite-logs in your project. Codex loads it when a task matches its description.

Can I use Optimize Simplicite Logs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/optimize-simplicite-logs, .gemini/skills/optimize-simplicite-logs, .github/skills/optimize-simplicite-logs and .opencode/skills/optimize-simplicite-logs in your project.

What does Optimize Simplicite Logs need to run?

Going by SKILL.md and its folder, Optimize Simplicite Logs needs PowerShell and Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; PowerShell.

Does Optimize Simplicite Logs access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Optimize Simplicite Logs safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Optimize Simplicite Logs use?

Optimize Simplicite Logs is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Optimize Simplicite Logs use?

About 935 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Optimize Simplicite Logs?

Skills that share tags, products or a category with Optimize Simplicite Logs: Environment Setup (Norman-bury/research-writing-skill, 3.3k stars), Hf Cloud Sagemaker Iam Preflight (waybarrios/opencode-power-pack, 533 stars), Remote Hosts (libnativeapi/nativeapi, 157 stars) and UiPath Project Generator (marcelocruzrpa/uipath-ai-skills, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Optimize Simplicite Logs?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.