← Back to Skills Marketplace
hanxueyuan

Fila

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
63
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install fila
Description
Provides detailed insights on Fila's evolution from Italian textile roots to a global sportswear and fashion brand known for tennis, basketball, and retro st...
README (SKILL.md)

Fila

历史时间线

  • 1911: Fila brothers found textile company in Biella, Italian Alps
  • 1973: Launches first sportswear line, enters tennis
  • 1975: Björn Borg signs, wins 5 consecutive Wimbledon titles wearing Fila
  • 1990s: Expands into basketball with Grant Hill, becomes streetwear icon
  • 2003: Acquired by Sports Direct (UK)
  • 2007: Sold to Fila Korea for $365M
  • 2010s: Retro revival drives massive growth in Asia
  • 2021: Fila Korea's parent E-Land sells to Anta Sports for $1.8B

商业模式

Sport-lifestyle brand licensing model. Fila Korea owns rights to most international markets, operating directly and through licensees. Focus on retro-inspired designs that bridge athletic heritage and streetwear fashion. Strong presence in tennis, basketball, and lifestyle categories.

护城河分析

Iconic design archive — the Disruptor sneaker alone generated over $1B in sales. Strong brand recognition from 90s nostalgia wave. Korean management's expertise in Asian market trends. Björn Borg's legacy creates enduring tennis credibility.

关键数据

  • Founded: 1911, Biella, Italy
  • Current Owner: Anta Sports (via FILA Korea acquisition, 2021)
  • Acquisition Price: $1.8B (2021)
  • Key Products: Footwear, Apparel, Accessories
  • Iconic Products: Disruptor sneaker, Borg tennis line, Grant Hill 2

有趣事实

  • Fila started as a textile mill in the Italian Alps, making wool underwear for local mountaineers — a far cry from its later streetwear fame.
  • The Fila Disruptor sneaker, released in 2017, became one of the best-selling shoes in the US despite its deliberately 'ugly' chunky design.
Usage Guidance
This skill appears safe and coherent: it only provides static information about Fila and doesn't request credentials or perform installs. However, its source/homepage are unknown—verify any critical facts (dates, ownership, financial figures) against authoritative sources before using them in reports or commercial decisions. If you need up-to-date or primary-source citations, prefer skills or sources that include references or official links.
Capability Analysis
Type: OpenClaw Skill Name: fila Version: 1.0.0 The skill bundle contains purely informational content regarding the history, business model, and market analysis of the Fila brand. There is no executable code, no network activity, and no evidence of prompt injection or malicious intent across SKILL.md or _meta.json.
Capability Tags
crypto
Capability Assessment
✓ Purpose & Capability
Name and description (Fila brand history/analysis) align with the SKILL.md content. The skill requires no binaries, env vars, or config paths, which is appropriate for a read-only informational skill.
✓ Instruction Scope
SKILL.md contains only brand history, business-model analysis, timeline and trivia. It does not instruct the agent to read files, access environment variables, call external endpoints, or transmit data outside the agent context.
✓ Install Mechanism
No install spec and no code files—this is instruction-only, so nothing is written to disk or fetched at install time.
✓ Credentials
The skill declares no required environment variables or credentials; this is proportionate for a content-only informational skill.
✓ Persistence & Privilege
always is false and the skill does not request persistent system presence or modify other skills/configurations. Autonomous invocation is allowed (platform default) but there are no sensitive privileges requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install fila
  3. After installation, invoke the skill by name or use /fila
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial launch of the Fila skill with concise history, business model, and key milestones. - Covers Fila’s evolution from Italian textile maker to global sportswear and fashion brand, with detailed timeline. - Highlights major figures (Björn Borg, Grant Hill) and pivotal moments in tennis and basketball. - Includes business analysis: ownership changes, licensing strategy, and brand strengths. - Provides interesting facts and essential data for quick reference.
Metadata
Slug fila
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Fila?

Provides detailed insights on Fila's evolution from Italian textile roots to a global sportswear and fashion brand known for tennis, basketball, and retro st... It is an AI Agent Skill for Claude Code / OpenClaw, with 63 downloads so far.

How do I install Fila?

Run "/install fila" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Fila free?

Yes, Fila is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Fila support?

Fila is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Fila?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments