Skills for Real Engineers. Straight from my .agents directory.
39 skills
trader-timemachine
Agent skill from
Time Machine. Replays every possible outcome of a trade before you risk a dollar: 10,000 simulated sessions plus every past time the setup fired. Takes the plan from trader-exit (entry, stop, target), rebuilds the rest of the day 10,000 times from the stock's own 5-minute bars over the last 60 days, and re-runs the same rule on every past session. Prints the odds of target first, stop first, or neither by the close, where the price sits at the close, the average R, the history, and one honest verdict, then hands off to /trader-budget. Use when the user says "run the time machine", "replay this trade", "what are the odds", "simulate this trade", "monte carlo", "backtest this setup", "how often does this hit the target", "is this a coin flip", or after /trader-exit writes a plan, before /trader-budget.
How to install trader-timemachine
install trader-timemachine
# install the day-trader-skill pack with the skills CLI
npx skills add Jakeschincariol/day-trader-skill# or add only this skill to Claude Code: copy the folder
trader-timemachine/
# into
~/.claude/skills/trader-timemachine/ (all projects)
.claude/skills/trader-timemachine/ (one project)
1# trader-timemachine23The Time Machine sits between the plan and the money. trader-exit has set4the entry, the stop and the target. Before anything is sized or sent, this5skill asks one question: if today plays out like the stock's own last 606days, how often does this plan hit the target first, the stop first, or7neither? It answers with 10,000 replays and with the real record of the same8rule on every past session. It is a simulation built from the stock's own9recent bars, not a prediction. Day trading loses most people money, and a10good-looking replay does not change that.1112`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).1314```bash15python3 "${CLAUDE_SKILL_DIR}/timemachine.py" run # trader/plan.json, 10,000 replays, seed 1916python3 "${CLAUDE_SKILL_DIR}/timemachine.py" run --write # also save trader/timemachine.json17python3 "${CLAUDE_SKILL_DIR}/timemachine.py" run --until 15:55 # end each replay at your flat-by time18python3 "${CLAUDE_SKILL_DIR}/timemachine.py" run --json19python3 "${CLAUDE_SKILL_DIR}/timemachine.py" run --symbol TSLA --date 2026-10-19 \20 --entry 364.18 --stop 358.32 --target 370.04 --entry-time "10:15 AM"21python3 "${CLAUDE_SKILL_DIR}/timemachine.py" chart --from # ASCII fan chart of the saved run22```2324Other flags: `--replays N`, `--seed N` (default 19), `--window N` (default 225bars), `--offline FILE` (a saved Yahoo chart JSON, `.json` or `.json.gz`),26…
Excerpt shown under the repository's MIT license.
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