alpha-squad
Skill40 starsChanged 8 months agoApache-2.0View on GitHub
Run multi-lens hypothesis generation across accounting, flows, networks, microstructure, and causal checks. Use when you need market hypotheses with mechanism, counterparty, and decay. Triggers: alpha squad, fundamentalist, vulture, network-architect, book-physicist, causal-detective, hypothesis generation, mechanism first.
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 4 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill when the user wants market hypotheses generated from complementary lenses.
- Distinctive: line 20
Read README.md and enforce mechanism-first reasoning.
- Very specific: line 21
If the user specified one role, spawn exactly that role with agent_type and task context.
- Distinctive: line 22
If no role was specified, spawn all five roles in parallel and ask each for 1-3 high-conviction hypotheses.
- Very specific: line 23
Use wait to gather results, then synthesize a single hypothesis slate.
- Distinctive: line 24
Ensure every proposed hypothesis includes counterparty, constraint, decay horizon, and mechanism sketch.
- Very specific: line 25
If confidence is weak or confounding is likely, run a follow-up pass with causal-detective before presenting final output.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Alpha Squad
Use this skill when the user wants market hypotheses generated from complementary lenses.
Role Map
fundamentalist->agents/fundamentalist.mdvulture->agents/vulture.mdnetwork-architect->agents/network-architect.mdbook-physicist->agents/book-physicist.mdcausal-detective->agents/causal-detective.md
Workflow
- Read
README.mdand enforce mechanism-first reasoning. - If the user specified one role, spawn exactly that role with
agent_typeand task context. - If no role was specified, spawn all five roles in parallel and ask each for 1-3 high-conviction hypotheses.
- Use
waitto gather results, then synthesize a single hypothesis slate. - Ensure every proposed hypothesis includes counterparty, constraint, decay horizon, and mechanism sketch.
- If confidence is weak or confounding is likely, run a follow-up pass with
causal-detectivebefore presenting final output.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- 97-devSkill
- anti-ai-slopSkill
- arxiv-searchSkill
- bug-huntersSkill
- chain-systemSkill
- cost-statusSkill
- datetimeSkill
- dev-expertsSkill
- golang-proSkill
- mft-research-expertsSkill
- polars-expertiseSkill
- venue-expertSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

