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yao-kelly-skill

Agent skill fromyaojingang/yao-open-skills

Turn uncertain resource-allocation requests into practical action plans using Kelly sizing as a conservative allocation engine. Use when a user needs to decide whether an opportunity is suitable for Kelly, what minimum action package to run, how much resource to cap, when to add or stop, and how to review results. Do not use for pure formula tutoring, guaranteed-return claims, martingale escalation, or final licensed investment, legal, or tax advice.

How to install yao-kelly-skill

install yao-kelly-skill
# install the yao-open-skills pack with the skills CLI
npx skills add yaojingang/yao-open-skills

# or add only this skill to Claude Code: copy the folder

skills/yao-kelly-skill/

# into

~/.claude/skills/yao-kelly-skill/ (all projects)

.claude/skills/yao-kelly-skill/ (one project)

skills/yao-kelly-skill/SKILL.md

MITFull file
1# Yao Kelly Skill
2
3## Use This Skill For
4
5- turn "should I invest, bet, or allocate, and how much?" into a practical resource allocation plan
6- decide whether the user's problem is actually suitable for Kelly-style sizing
7- translate a percentage into a minimum action package with owner, metric, review window, add condition, and stop condition
8- start with incomplete input, give a provisional view early, then ask only the minimum high-impact follow-up questions
9- size a single bet or opportunity, or conservatively split a pool across several opportunities
10- keep a round-by-round log for the current case and an append-only change log for future edits to this skill
11
12## Do Not Route Here
13
14- pure formula tutoring, homework solving, or generic finance education
15- requests for guaranteed returns, sure-win systems, or martingale-style escalation
16- final licensed investment, legal, or tax advice
17- leverage sizing with no bounded downside model
18
19## Default Workflow
20
211. Use `references/intake-contract.md` to identify the user's real resource pool, decision question, minimum action unit, review window, and opportunity candidates.
222. If the input is incomplete, read `references/multi-turn-kelly-loop.md`:
23 - ask only `1-3` questions that can materially change the result
24 - recalculate `decision_readiness` after every round
25 - stop asking when the threshold is met or the action class is already stable
263. Decide whether Kelly is suitable:
27…

Excerpt shown under the repository's MIT license.

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