S
SylphxAI/skills
Universal Agent Skills and domain reference standards for Claude Code, Codex, OpenCode, and Agent Skills…
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"sylphxai-skills": {
"command": "npx",
"args": ["skills"]
}
}
}Parsed from the README we fetched on 2026-11-06; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"sylphxai-skills": {
"command": "npx",
"args": ["skills"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio sylphxai-skills -- npx skills
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 1 ★ · SylphxAI/skills · read from the GitHub search API · (checked 2026-11-13 20:00:50)
- Source
- read directly from its GitHub page · type: open-source project
- Harvest history
- first seen 2026-11-07 · last seen 2026-11-14 · seen 8× · listed by 7 sources
- Score
- score 703 · 1 ★ · 7 sources · repo
- Install
npx skills
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx skills. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: Agent 技能. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
SylphxAI/skills；first catalogued 2026-11-07；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.# Sylphx Agent Skills (SylphxAI/skills)
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Opinionated, scenario-driven Agent Skills and colocated reference methodologies for autonomous AI agents and human-agent teams across software engineering, system architecture, product design, commercial/partner negotiations, operations, marketing/growth, customer support, and clear communication.
## Core Design Philosophy: Opinionated Methodology vs. Organization State
1. Skills Encode Chosen Methodology as a Swappable Stack (Not Neutral Option Lists, Intuition, or Organization State):
In every discipline—how we reason scientifically, how we price and monetize, how we design systems and capacity, how we deliberate as a team, which technology stack we build on, how we score risk, how we prioritize work, how we ship software, and how we write—there are competing schools of thought.
Instead of inventing ad-hoc rules, relying on subjective intuition, or piling on negative prohibitions ("do not do X"), we select proven, peer-reviewed or industry-validated methodologies calibrated to a small, self-funded, agent-native company, and record them in each standard's Method sources / Methods table registry (with an explicit replacement trigger so any method can be swapped when a better-evidenced paper or industry practice outperforms it):
How We Think, Decide & Design (challenge): Strong Inference & Falsification (Platt 1964; Popper 1959), Analysis of Competing Hypotheses (Heuer 1999), Theory of Constraints & Queueing Physics (Goldratt 1984; Little 1961; Kingman 1961), Value-Based Market Pricing & Gross-Margin Maximization (commercial.md — Nagle & Müller; Ramanujam & Tacke 2016; Skok SaaS Metrics), Freemium Power-Law IAP Economics (games.md — Seufert 2014), Simple Concept / Deep Implementation, 10x/100x Scale, Scale-to-Zero (architecture.md), Opinionated Stack Selection (stack.md), and Quantitative 5×5 Risk Scoring (risk.md — ISO 31000; IEC 31010; FAIR).
How We Deliberate (swarm-fuse): Dynamic Group Facilitation (Topic × Participant Context), Independent Delphi + Red-Team Challenge Angles, and Single-Writer Coordination.
How We Prioritize, Build, Unblock & Ship (author-item, deliver-and-verify, prove-it, unblock, refactor): Cost of Delay Divided by Duration (priority.md — Reinertsen 2009 CD3; Graham 2015 Default Alive/Dead), Three-Stage Acceptance Test-Driven Development (ATDD), Work-in-progress limits and work item age, Release Scope Management, Upstream Contribution and Separation of Concerns (first-party client, zero backdoors), Complete Replacement + Systemic Corrective Action + Mistake-Proofing, and Primary-Source Verification.
How We Communicate & Serve (clear-writing, customer-support, ambassador): Audience × Purpose × Channel calibration, Concrete ❌ Bad vs ✅ Good side-by-side examples, Deterministic Support Case-State Machines, and In-Character Ambassador (大使) Companionship with Adversarial Turing Self-Testing.
Organization State Lives Outside Skills: Company-specific state (current headcount/size, active project portfolio, live server inventory, or specific rows in an accepted-risk register) belongs in the workspace repository or Organization Knowledge—never inside a skill.
2. Three-Stage Acceptance Test-Driven Development (ATDD) for Every Outcome:
## Core Design Philosophy: Opinionated Methodology vs. Organization State
1. Skills Encode Chosen Methodology as a Swappable Stack (Not Neutral Option Lists, Intuition, or Organization State):
In every discipline—how we reason scientifically, how we price and monetize, how we design systems and capacity, how we deliberate as a team, which technology stack we build on, how we score risk, how we prioritize work, how we ship software, and how we write—there are competing schools of thought.
Instead of inventing ad-hoc rules, relying on subjective intuition, or piling on negative prohibitions ("do not do X"), we select proven, peer-reviewed or industry-validated methodologies calibrated to a small, self-funded, agent-native company, and record them in each standard's Method sources / Methods table registry (with an explicit replacement trigger so any method can be swapped when a better-evidenced paper or industry practice outperforms it):
How We Think, Decide & Design (challenge): Strong Inference & Falsification (Platt 1964; Popper 1959), Analysis of Competing Hypotheses (Heuer 1999), Theory of Constraints & Queueing Physics (Goldratt 1984; Little 1961; Kingman 1961), Value-Based Market Pricing & Gross-Margin Maximization (commercial.md — Nagle & Müller; Ramanujam & Tacke 2016; Skok SaaS Metrics), Freemium Power-Law IAP Economics (games.md — Seufert 2014), Simple Concept / Deep Implementation, 10x/100x Scale, Scale-to-Zero (architecture.md), Opinionated Stack Selection (stack.md), and Quantitative 5×5 Risk Scoring (risk.md — ISO 31000; IEC 31010; FAIR).
How We Deliberate (swarm-fuse): Dynamic Group Facilitation (Topic × Participant Context), Independent Delphi + Red-Team Challenge Angles, and Single-Writer Coordination.
How We Prioritize, Build, Unblock & Ship (author-item, deliver-and-verify, prove-it, unblock, refactor): Cost of Delay Divided by Duration (priority.md — Reinertsen 2009 CD3; Graham 2015 Default Alive/Dead), Three-Stage Acceptance Test-Driven Development (ATDD), Work-in-progress limits and work item age, Release Scope Management, Upstream Contribution and Separation of Concerns (first-party client, zero backdoors), Complete Replacement + Systemic Corrective Action + Mistake-Proofing, and Primary-Source Verification.
How We Communicate & Serve (clear-writing, customer-support, ambassador): Audience × Purpose × Channel calibration, Concrete ❌ Bad vs ✅ Good side-by-side examples, Deterministic Support Case-State Machines, and In-Character Ambassador (大使) Companionship with Adversarial Turing Self-Testing.
Organization State Lives Outside Skills: Company-specific state (current headcount/size, active project portfolio, live server inventory, or specific rows in an accepted-risk register) belongs in the workspace repository or Organization Knowledge—never inside a skill.
2. Three-Stage Acceptance Test-Driven Development (ATDD) for Every Outcome:
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- Source
- github · https://github.com/SylphxAI/skills
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