muxuuu/serenity-skill
Serenity-inspired Agent Skill for supply-chain bottleneck stock research observed · 2026-08-28
Health v2 · maintenance only
50/100
- Activity 80
- Release rhythm 35
- Longevity 8
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 121
- days_rel: n/a
- days_push: 120
- n_releases_24m: 0
Adoption not part of the score
3870 stars · 606 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
An Agent Skill (SKILL.md-based prompt/methodology package) that encodes a Serenity-style investment research workflow for supply-chain bottleneck stock and fund analysis. It guides AI agents like Claude Code or Codex to decompose hot themes into industry chains, identify chokepoint segments, screen candidate stocks and funds, and produce prioritized research lists backed by filings and public evidence.
Use cases
- research which segments of the AI semiconductor supply chain are worth investing in
- find which robot industry chain components are closest to real supply bottlenecks
- challenge whether a stock is truly a core CPO supplier or just riding the hype
- compare candidate stocks and rank them by clarity of their upside logic
- identify which upstream segments a robotics-themed ETF or fund should expose to
- build a repeatable screening workflow for turning hot news into research directions
When to choose
- you invest in hot tech themes (AI chips, robotics, optics, innovative drugs) and need a structured first-pass research process
- you use Claude Code, Codex, or another agent that supports SKILL.md skills and want it to do supply-chain equity research
- you want AI to turn vague market hype into evidence-based, prioritized stock and fund watchlists
When to avoid
- you need automated trading, real-time market data feeds, or execution - this is research support only
- you require guaranteed financial accuracy - outputs are AI reasoning over public sources and must be verified
- you need a traditional backtesting or quantitative analysis library rather than a prompt-driven research methodology
Facets
plugin · maturity active
agent-framework prompt-engineering rag search-engine analytics fintech artificial-intelligence large-language-models data-science developer-tools python cli cross-platform agent-skills claude-code codex investment-research stock-research supply-chain-analysis equity-research prompt-pack skyll-md chinese-language ai-agents
1 source
- readme: https://github.com/muxuuu/serenity-skill · fetched 2026-08-28 · 13b9ea47339f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| muxuuu/serenity-skill | main | 50 |
For agents
markdown · JSON · MCP: product_card(name="muxuuu/serenity-skill")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem