Fantasy Framework Development Guide
qq362946/Fantasy
Development and review guide for the Fantasy C# distributed game server framework: ECS, FTask, routing, service discovery, config and databases.
Implement TrueSkill rating system for multiplayer and team-based competitive ranking.
Install Algo Rank Trueskill
$ npx skills add asgard-ai-platform/skills --skill algo-rank-trueskill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills algo-rank-trueskill --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/algo-rank-trueskill .claude/skills/algo-rank-trueskill && 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 "algo-rank-trueskill" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-rank-trueskill into .claude/skills/algo-rank-trueskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-rank-trueskill", 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/asgard-ai-platform/skills/tree/main/algo-rank-trueskillType 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 asgard-ai-platform/skills --skill algo-rank-trueskill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills algo-rank-trueskill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/algo-rank-trueskill .agents/skills/algo-rank-trueskill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algo-rank-trueskill" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-rank-trueskill into .agents/skills/algo-rank-trueskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-rank-trueskill", 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 asgard-ai-platform/skills --skill algo-rank-trueskill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills algo-rank-trueskill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/algo-rank-trueskill .cursor/skills/algo-rank-trueskill && 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 "algo-rank-trueskill" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-rank-trueskill into .cursor/skills/algo-rank-trueskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-rank-trueskill", 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/asgard-ai-platform/skills.git --path algo-rank-trueskill--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 asgard-ai-platform/skills --skill algo-rank-trueskill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills algo-rank-trueskill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/algo-rank-trueskill .gemini/skills/algo-rank-trueskill && 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 "algo-rank-trueskill" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-rank-trueskill into .gemini/skills/algo-rank-trueskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-rank-trueskill", 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 asgard-ai-platform/skills algo-rank-trueskillInstalls 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 asgard-ai-platform/skills --skill algo-rank-trueskill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/algo-rank-trueskill .github/skills/algo-rank-trueskill && 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 "algo-rank-trueskill" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-rank-trueskill into .github/skills/algo-rank-trueskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-rank-trueskill", 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 asgard-ai-platform/skills --skill algo-rank-trueskill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills algo-rank-trueskill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/algo-rank-trueskill .opencode/skills/algo-rank-trueskill && 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 "algo-rank-trueskill" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/algo-rank-trueskill into .opencode/skills/algo-rank-trueskill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algo-rank-trueskill", 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.
Facts
- Skill name
algo-rank-trueskill- GitHub stars
- 242
- Token cost
- ~1.1k tokens
- SKILL.md length
- 424 words
- Files
- 4 (incl. references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Implement TrueSkill rating system for multiplayer and team-based competitive ranking.
- Works in 4 steps: Input Validation → Core Algorithm → Verification → …
- The user needs to rate players in team games
- SKILL.md covers Overview, When to Use, Algorithm and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Algo Rank Trueskill is an agent skill from asgard-ai-platform/skills. Implement TrueSkill rating system for multiplayer and team-based competitive ranking. Use this skill when the user needs to rate players in team games, handle multiplayer (non-1v1) matchups, or build a matchmaking system with uncertainty tracking — even if they say 'team rating system', 'multiplayer ranking', or 'matchmaking rating'.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/factor-graph.md` and `references/matchmaking.md`).
It sits in Game Development, covering Multiplayer and networking. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to rate players in team games
- Handle multiplayer (non-1v
- Build a matchmaking system with uncertainty tracking — even if they say team rating system
- Multiplayer ranking
Example prompts
- “team rating system”
- “multiplayer ranking”
- “matchmaking rating”
- “/algo-rank-trueskill”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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 json).
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
Algo Rank Trueskill loads about 1.1k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 424 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.
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
The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 424 words, ~1,059 tokens.
Download SKILL.mdSave it as
.claude/skills/algo-rank-trueskill/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- algo-rank-trueskill
- description
- Implement TrueSkill rating system for multiplayer and team-based competitive ranking. Use this skill when the user needs to rate players in team games, handle multiplayer (non-1v1) matchups, or build a matchmaking system with uncertainty tracking — even if they say 'team rating system', 'multiplayer ranking', or 'matchmaking rating'.
- metadata.category
- WP-44 排名演算法
- metadata.tags
- ranking, trueskill, matchmaking, bayesian-rating
TrueSkill Rating System
Overview
TrueSkill (Microsoft Research) models each player's skill as a Gaussian distribution N(μ, σ²) where μ is estimated skill and σ is uncertainty. Supports teams and multiplayer (not just 1v1). Conservative rating = μ - 3σ. Uncertainty decreases with more games. Uses Bayesian inference via message passing.
When to Use
Trigger conditions:
- Rating players in team-based or multiplayer (3+ participant) games
- Building matchmaking systems that balance match quality
- When you need uncertainty estimates alongside skill ratings
When NOT to use:
- For simple 1v1 ranking with no uncertainty (Elo is simpler)
- For non-competitive ranking (product ratings — use Wilson Score)
Algorithm
IRON LAW: Skill Rating Has TWO Components — Mean AND Uncertainty
TrueSkill represents skill as N(μ, σ²). New players have high σ
(uncertain). After many games, σ shrinks (confident). The conservative
rating μ - 3σ ensures players are ranked by their LIKELY MINIMUM
skill, not their estimated average. Never use μ alone for ranking.Phase 1: Input Validation
Initialize: μ₀ = 25, σ₀ = 25/3 (default). Collect match results with team compositions and finishing order. Gate: Valid match results, team compositions defined.
Phase 2: Core Algorithm
- For each match, compute expected outcome from team skill distributions
- Compare actual vs expected outcome
- Update each player's (μ, σ) using Bayesian update:
- μ shifts toward performance (up for winners, down for losers)
- σ decreases (less uncertain after observing outcome)
- Amount of update is proportional to σ (uncertain players change more)
- Conservative rank = μ - 3σ
Phase 3: Verification
Check: σ decreases over time for active players. Top-ranked players by conservative rating win more than expected. Match quality metric (draw probability) is reasonable. Gate: Rating system produces intuitive rankings, σ converges.
Phase 4: Output
Return player ratings with uncertainty bounds.
Output Format
{
"ratings": [{"player": "P1", "mu": 32.5, "sigma": 2.1, "conservative": 26.2, "games_played": 50}],
"metadata": {"initial_mu": 25, "initial_sigma": 8.33, "beta": 4.17, "tau": 0.083}
}Examples
Sample I/O
Input: Team [A(25,8.3), B(25,8.3)] beats Team [C(25,8.3), D(25,8.3)] Expected: A,B μ increases ~2-3 pts, σ decreases ~0.5. C,D μ decreases, σ decreases. Conservative ratings adjust.
Show full SKILL.md (161 more words)Show less
Edge Cases
| Input | Expected | Why |
|---|---|---|
| New vs veteran player | New player μ changes more | Higher σ = more uncertainty = larger updates |
| 1v1 match | Degenerates to Elo-like behavior | TrueSkill reduces to simple case for 1v1 |
| Free-for-all (8 players) | All pairs compared | Multiplayer native support, unlike Elo |
Gotchas
- Computational cost: Message passing in factor graphs is more expensive than Elo. For millions of players, use approximations (EP truncation).
- Team skill aggregation: TrueSkill sums individual Gaussians for team skill. This assumes independence — correlated player skills (practiced teams) are undermodeled.
- Dynamic skill: σ only decreases. If a player's skill genuinely changes (improvement or decline), add a small drift term τ per time period to increase σ gradually.
- Partial play: If a player joins mid-game or leaves early, their contribution is ambiguous. Need partial-play weight extension.
- Patent status: TrueSkill was patented by Microsoft (expired 2024). TrueSkill 2 adds more features but check licensing.
References
- For TrueSkill factor graph derivation, see
references/factor-graph.md - For matchmaking quality metrics, see
references/matchmaking.md
© asgard-ai-platform, 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 3 other files (references) in algo-rank-trueskill of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/factor-graph.md
- references/matchmaking.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Algo Rank Trueskill 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 |
|---|---|---|---|---|---|---|
| Algo Rank Trueskill this skillasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Fantasy Framework Development Guideqq362946/Fantasy | 1.4k | — | ~5.8k | Automated safety check: Pass | Custom licence | |
| Validate GsdkPlayFab/gsdk | 170 | — | ~645 | Automated safety check: Pass | Apache-2.0 | |
| Portal Connectgosuda/portal-tunnel | 308 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Kenshi Manual Freeplay Sessionnhoral/KenshiCoop | 285 | — | ~835 | Automated safety check: Pass | AGPL-3.0 | |
| Dota2 Game LogicXavierCHN/x-template | 217 | — | ~2.7k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Algo Rank Trueskill
What does Algo Rank Trueskill do?
Implement TrueSkill rating system for multiplayer and team-based competitive ranking. Algo Rank Trueskill is an agent skill from asgard-ai-platform/skills. Implement TrueSkill rating system for multiplayer and team-based competitive ranking.
When should I use Algo Rank Trueskill?
Algo Rank Trueskill fits situations like: the user needs to rate players in team games; handle multiplayer (non-1v; build a matchmaking system with uncertainty tracking — even if they say team rating system; multiplayer ranking.
How do I install Algo Rank Trueskill in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill algo-rank-trueskill -a claude-code`. Or copy the skill folder (algo-rank-trueskill in asgard-ai-platform/skills) into .claude/skills/algo-rank-trueskill in your project. Claude Code loads it when a task matches its description.
How do I install Algo Rank Trueskill in Codex?
Run `npx skills add asgard-ai-platform/skills --skill algo-rank-trueskill -a codex`. Or copy the skill folder (algo-rank-trueskill in asgard-ai-platform/skills) into .agents/skills/algo-rank-trueskill in your project. Codex loads it when a task matches its description.
Can I use Algo Rank Trueskill 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 asgard-ai-platform/skills --skill algo-rank-trueskill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algo-rank-trueskill, .gemini/skills/algo-rank-trueskill, .github/skills/algo-rank-trueskill and .opencode/skills/algo-rank-trueskill in your project.
What does Algo Rank Trueskill need to run?
SKILL.md names no scripts, command-line tools or credentials: Algo Rank Trueskill is instructions for the agent only.
Does Algo Rank Trueskill 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 Algo Rank Trueskill 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 Algo Rank Trueskill use?
Algo Rank Trueskill 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 Algo Rank Trueskill use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 5.1k tokens, read only when the agent opens those files.
What are the alternatives to Algo Rank Trueskill?
Skills that share tags, products or a category with Algo Rank Trueskill: Fantasy Framework Development Guide (qq362946/Fantasy, 1.4k stars), Validate Gsdk (PlayFab/gsdk, 170 stars), Portal Connect (gosuda/portal-tunnel, 308 stars) and Kenshi Manual Freeplay Session (nhoral/KenshiCoop, 285 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Algo Rank Trueskill?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.