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
capability to parse Simplicité logs from a raw .txt file, filter fields to reduce noise, and output the result as structured JSON.
$ npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot optimize-simplicite-logs --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "optimize-simplicite-logs" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/optimize-simplicite-logs into .claude/skills/optimize-simplicite-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimize-simplicite-logs", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/github/awesome-copilot/tree/main/skills/optimize-simplicite-logsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot optimize-simplicite-logs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/optimize-simplicite-logs .agents/skills/optimize-simplicite-logs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "optimize-simplicite-logs" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/optimize-simplicite-logs into .agents/skills/optimize-simplicite-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimize-simplicite-logs", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot optimize-simplicite-logs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/optimize-simplicite-logs .cursor/skills/optimize-simplicite-logs && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "optimize-simplicite-logs" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/optimize-simplicite-logs into .cursor/skills/optimize-simplicite-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimize-simplicite-logs", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/github/awesome-copilot.git --path skills/optimize-simplicite-logs--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot optimize-simplicite-logs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/optimize-simplicite-logs .gemini/skills/optimize-simplicite-logs && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "optimize-simplicite-logs" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/optimize-simplicite-logs into .gemini/skills/optimize-simplicite-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimize-simplicite-logs", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install github/awesome-copilot optimize-simplicite-logsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/optimize-simplicite-logs .github/skills/optimize-simplicite-logs && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "optimize-simplicite-logs" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/optimize-simplicite-logs into .github/skills/optimize-simplicite-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimize-simplicite-logs", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add github/awesome-copilot --skill optimize-simplicite-logs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot optimize-simplicite-logs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/optimize-simplicite-logs .opencode/skills/optimize-simplicite-logs && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "optimize-simplicite-logs" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/optimize-simplicite-logs into .opencode/skills/optimize-simplicite-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "optimize-simplicite-logs", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
optimize-simplicite-logscapability 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. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (PowerShell and Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 398 words, ~935 tokens.
.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.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.
Use this skill when you need to:
.txt format.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.
/scripts/SimpliciteLog2Json.ps1) or the Python script (/scripts/simplicite-log2json.py).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).
Properly captures stack traces and multiline errors inside the body field of the JSON structure, which a simple text search might miss.
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.
After processing, the tool prints a summary to stderr (or console):
Processed: 123 entries, Skipped: 2 entriesConvert a log file to JSON, keeping only the most important fields:
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/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.
.txt log files from Simplicité using standard text reading tools. Always convert them to JSON using the available scripts.--include (Python) or -Include (PowerShell) to restrict fields to what is absolutely necessary to diagnose the issue (usually timestamp,level,body).timestamp, app, level, endpoint, contextPath, event, user, class, function, rowId, body.# 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.© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in skills/optimize-simplicite-logs of github/awesome-copilot.
Open the folder on GitHubat commit 727ff2e
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Optimize Simplicite Logs this skillgithub/awesome-copilot | 40k | — | ~935 | Automated safety check: Pass | MIT | |
| Environment SetupNorman-bury/research-writing-skill | 3.3k | — | ~840 | Automated safety check: Pass | MIT | |
| Hf Cloud Sagemaker Iam Preflightwaybarrios/opencode-power-pack | 533 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Remote Hostslibnativeapi/nativeapi | 157 | — | ~1.3k | Automated safety check: Pass | MIT | |
| UiPath Project Generatormarcelocruzrpa/uipath-ai-skills | 108 | — | ~6.9k | Automated safety check: Pass | MIT | |
| Entra Agent Idmicrosoft/GitHub-Copilot-for-Azure | 255 | 3 repos | ~4k | Automated safety check: Pass | MIT |
Norman-bury/research-writing-skill
A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required
waybarrios/opencode-power-pack
Verify or select a SageMaker execution role before creating models, endpoints, or training jobs.
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…
marcelocruzrpa/uipath-ai-skills
Generates UiPath Studio projects, REFramework scaffolds, XAML workflows and expressions through 104 deterministic Python generators instead of hand-written XAML.
microsoft/GitHub-Copilot-for-Azure
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)…
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…
github/awesome-copilot
Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.
github/awesome-copilot
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.
github/awesome-copilot
Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
github/awesome-copilot
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.
github/awesome-copilot
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
Works with
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.