Agent skill

Steam Deep Analysis

by infometa in infometa/workbuddyskills

Steam-platform deep-dive analysis. An agent skill from infometa/workbuddyskills.

No licenceAuto-check passed

Install Steam Deep Analysis

skills CLI
$ npx skills add infometa/workbuddyskills --skill steam-deep-analysis -a claude-code

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

GitHub CLI
$ gh skill install infometa/workbuddyskills steam-deep-analysis --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/tiderider-sentiment/skills/steam-deep-analysis .claude/skills/steam-deep-analysis && 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
steam-deep-analysis
GitHub stars
344
Token cost
~1.2k tokens
SKILL.md length
470 words
Files
2 (incl. references)
Skills in repo
212
Repo updated
First seen
Licence
None found

At a glance

Steam-platform deep-dive analysis. An agent skill from infometa/workbuddyskills.

  • Works in 3 steps: First query this game's P25/P50/P75/P90… → Divide segments dynamically based on… → The report MUST clearly state which…
  • SKILL.md covers Overview, Prerequisites, ext_json field reference and Analysis Templates, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Steam Deep Analysis is an agent skill from infometa/workbuddyskills. Steam-platform deep-dive analysis. Uses extjson fields for playtime portraits, abandonment analysis, disillusionment inflection points, community-consensus negatives, refund-player analysis, and review-change tracking. Triggers: Steam deep analysis, playtime, abandonment analysis, disillusionment curve, community consensus, refund, review change, version comparison, extjson.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/ext-json-fields.md`).

The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.

Example prompts

  • “/steam-deep-analysis”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. First query this game's P25/P50/P75/P90 quantiles of review_duration
  2. Divide segments dynamically based on those (not hard-coded)
  3. The report MUST clearly state which segmentation was used and why

What it can do on your machine

Read from SKILL.md and the folder at commit 75a5ad9. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are sql).

    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

Steam Deep Analysis loads about 1.2k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 470 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.4k

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); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 470 words (~1,220 tokens).

“Uses Steam-specific ext_json and is_recommend fields to run five specialized deep-dive analyses.”

— opening of SKILL.md by infometa
name
steam-deep-analysis

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in experts/tiderider-sentiment/skills/steam-deep-analysis of infometa/workbuddyskills.

  • SKILL.md
  • references/ext-json-fields.md

Open the folder on GitHubat commit 75a5ad9

Compare with similar skills

Steam Deep Analysis 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.

Steam Deep Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Steam Deep Analysis this skillinfometa/workbuddyskills344—~1.2kAutomated safety check: PassNone
Steamsundial-org/awesome-openclaw-skills663—~1.1kAutomated safety check: PassNone
Vscode Ext Commandsgithub/awesome-copilot40k3 repos~387Automated safety check: PassMIT
Vscode Ext Localizationgithub/awesome-copilot40k2 repos~369Automated safety check: PassMIT
Management Deep DiveHKUDS/Vibe-Trading35k—~2.2kAutomated safety check: PassMIT
Management Deep Divexbtlin/ai-berkshire17k—~1.7kAutomated safety check: PassMIT

Similar skills

  • Steam

    sundial-org/awesome-openclaw-skills

    Browse, filter, and discover games in a Steam library. An agent skill from sundial-org/awesome-openclaw-skills.

    663 GitHub stars~1.1k tokensUpdated 7 mo ago
    Auto-check passed
  • Vscode Ext Commands

    github/awesome-copilot

    Official

    Guidelines for contributing commands in VS Code extensions. An agent skill from github/awesome-copilot.

    40k GitHub starsUsed in 3 repos~387 tokens
    Frontend & DesignAuto-check passed
  • Vscode Ext Localization

    github/awesome-copilot

    Official

    Guidelines for proper localization of VS Code extensions, following VS Code extension development guidelines, libraries and good practices

    40k GitHub starsUsed in 2 repos~369 tokens
    Frontend & DesignAuto-check passed
  • Management Deep Dive

    HKUDS/Vibe-Trading

    Assesses a company's management on integrity, ability, capital allocation and governance from public information, producing a weighted score and a final trust verdict.

    35k GitHub stars~2.2k tokensUpdated yesterday
    Business, Finance & HRAuto-check passed
  • Management Deep Dive

    xbtlin/ai-berkshire

    Researches a company's leadership from public sources: statements versus results, capital allocation decisions, governance and pay, and feedback from outside the firm.

    17k GitHub stars~1.7k tokensUpdated 2 days ago
    Business, Finance & HRAuto-check passed
  • Steam Publish

    gamedev-skills/awesome-gamedev-agent-skills

    Publish or update a game on Steam with Steamworks and SteamPipe: configure depots and packages, upload builds with steamcmd, set a build live on a branch, and run the release checklists.

    1.4k GitHub stars~2.3k tokensUpdated 12 days ago
    Product & Project ManagementAuto-check passed

More from infometa/workbuddyskills

All 212 skills in this repo
  • Campus Event Playbook

    infometa/workbuddyskills

    This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…

    344 GitHub stars~861 tokensUpdated yesterday
    Auto-check passed
  • Teachany

    infometa/workbuddyskills

    K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.

    344 GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check: notes
  • Weight Management HTML

    infometa/workbuddyskills

    A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.

    344 GitHub stars~1.2k tokensUpdated yesterday
    Auto-check passed
  • Agent Browser

    infometa/workbuddyskills

    A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.

    344 GitHub stars~2.1k tokensUpdated yesterday
    Auto-check passed
  • AI Research Radar

    infometa/workbuddyskills

    定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.

    344 GitHub stars~438 tokensUpdated yesterday
    Auto-check passed
  • Check Deck

    infometa/workbuddyskills

    Investment banking presentation quality checker. An agent skill from infometa/workbuddyskills.

    344 GitHub stars~687 tokensUpdated yesterday
    Auto-check passed

Questions about Steam Deep Analysis

What does Steam Deep Analysis do?

Steam-platform deep-dive analysis. An agent skill from infometa/workbuddyskills. Steam Deep Analysis is an agent skill from infometa/workbuddyskills. Steam-platform deep-dive analysis.

How do I install Steam Deep Analysis in Claude Code?

Run `npx skills add infometa/workbuddyskills --skill steam-deep-analysis -a claude-code`. Or copy the skill folder (experts/tiderider-sentiment/skills/steam-deep-analysis in infometa/workbuddyskills) into .claude/skills/steam-deep-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Steam Deep Analysis in Codex?

Run `npx skills add infometa/workbuddyskills --skill steam-deep-analysis -a codex`. Or copy the skill folder (experts/tiderider-sentiment/skills/steam-deep-analysis in infometa/workbuddyskills) into .agents/skills/steam-deep-analysis in your project. Codex loads it when a task matches its description.

Can I use Steam Deep Analysis 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 infometa/workbuddyskills --skill steam-deep-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/steam-deep-analysis, .gemini/skills/steam-deep-analysis, .github/skills/steam-deep-analysis and .opencode/skills/steam-deep-analysis in your project.

What does Steam Deep Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Steam Deep Analysis is instructions for the agent only.

Does Steam Deep Analysis 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 Steam Deep Analysis 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. Review the folder before installing.

What licence does Steam Deep Analysis use?

No licence was found for Steam Deep Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Steam Deep Analysis use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.

What are the alternatives to Steam Deep Analysis?

Skills that share tags, products or a category with Steam Deep Analysis: Steam (sundial-org/awesome-openclaw-skills, 663 stars), Vscode Ext Commands (github/awesome-copilot, 40k stars), Vscode Ext Localization (github/awesome-copilot, 40k stars) and Management Deep Dive (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Steam Deep Analysis?

infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.

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