Day Trader Skills
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Pressure-test the trade before you place it.

Fifteen editable skills for Claude Code and Codex. Your agent checks the data, pins down the setup, sizes the position, replays the plan and reviews the fills, using your Alpaca connection or your own files.

Get all 15 skills · $19 Try the replay

One-time purchase. No orders are ever placed for you.

trader-timemachine

One bar touched your stop and your target. Which filled?

Trade replayreplay.py · bundled example
Three five-minute bars of the bundled example trade A long entry at 100 dollars 10 on the 10:05 bar. That bar ranges from 94 to 111 dollars, crossing both the 95 dollar stop and the 110 dollar target. $110 targettarget $100.10 in $95 stopstop 10:0010:0510:10
Assume the bar hit the
Exit fill
$94.90
Net result
−$52.20
Of planned risk
−1.02R

Long 10 shares with $0.10 slippage and $0.01 fees per share. Five-minute bars can’t show which price came first, so the replay reports both outcomes instead of choosing the flattering one.

Editable skills
15
Local Python tools
14
Orders placed for you
0
One time, USD
$19

What’s inside

trader-data/

SKILL.md

references/

  • alpaca-compatibility.md
  • alpaca-mcp.md
  • alpaca-troubleshooting.md
  • collector-contract.md
  • data-diagnosis.md
  • data-semantics.md
trader-bull-bear-cycle/

SKILL.md

references/

  • auction-language.md
  • behavior-and-reassessment.md
  • comparison-data.md
  • worked-comparison.md
trader-news/

SKILL.md

references/

  • data-contract.md
  • earnings.md
  • events.md
trader-playbook/

SKILL.md

references/

  • availability.md
  • rule-design.md
  • terminology.md
  • worked-translations.md
trader-scanner/

SKILL.md

references/

  • data-handoff.md
  • offline-contract.md
  • selection-decisions.md
  • starter-screens.md
trader-entry/

SKILL.md

references/

  • entry-judgment.md
  • fill-evidence.md
  • state-and-timing.md
  • worked-cases.md
trader-exit/

SKILL.md

references/

  • invalidation-and-expectation.md
  • remaining-exposure.md
  • targets-and-arithmetic.md
trader-budget/

SKILL.md

references/

  • arithmetic.md
  • attention-and-exposure.md
  • cost-and-capacity.md
trader-risk/

SKILL.md

references/

  • account-snapshots.md
  • risk-semantics.md
  • risk-tradeoffs.md
  • worked-cases.md
trader-fill-cost-slippage-review/

SKILL.md

references/

  • accounting.md
  • execution-judgment.md
  • worked-cases.md
trader-timemachine/

SKILL.md

references/

  • alpaca-adapter.md
  • methodology.md
  • replay-input.md
  • result-interpretation.md
  • scenarios-input.md
trader-bar-by-bar-practice/

SKILL.md

references/

  • helper-contract.md
  • teaching-decisions.md
  • timing-and-contamination.md
trader-paper/

SKILL.md

references/

  • coverage-reviewer.md
  • experiment-designs.md
  • operator-reviews.md
  • paper-evidence.md
  • worked-review.md
trader-journal/

SKILL.md

references/

  • alpaca-import.md
  • path-and-execution.md
  • reconciliation.md
  • review-decisions.md
  • review-practice.md
trader-strategy-review/

SKILL.md

references/

  • diagnosis-and-evidence.md
  • review-decisions.md
  • terms-and-arithmetic.md

The bundle

Fifteen skills. Call the one the question needs.

Use one on its own or hand its result to the next. Each skill is a folder of instructions, references and editable starters, and ten of them include local Python tools.

01 · Before the open

Prepare

Know what your data can support and what your setup actually says.

  • Market Datatrader-dataCheck whether bars, quotes or saved Alpaca responses are complete enough for the job.
  • Setup Buildertrader-playbookTurn your idea or an editable starter card into versioned rules with no-trade cases.
  • Stock Scannertrader-scannerEdit a starter screen and filter a universe you define, with missing data kept visible.
  • Bull-Bear Cycletrader-bull-bear-cycleCompare a stock, its sector and the market at the same cutoff.
  • Earnings and Catalyst Researchtrader-newsVerify the catalyst, the expectations and what was known at the time.

02 · At the trade

Plan

Write down the entry, the exit, the size and the limit before price moves.

  • Entry Checktrader-entrySeparate a matched trigger from an entry you could actually get.
  • Exit Plannertrader-exitDefine invalidation, targets and time exits, and what is still open after a partial exit.
  • Position Sizingtrader-budgetWhole or supported fractional share quantities under your loss, cost and allocation limits.
  • Risk Checktrader-riskCheck concurrent exposure and which of your limits a plan would break.

03 · After the close

Test and review

Replay the plan, run a paper test, and keep the lesson.

  • Trade Time Machinetrader-timemachineReplay one plan against saved bars and explore scenarios from your session results.
  • Bar-by-Bar Practicetrader-bar-by-bar-practiceRehearse decisions one bar at a time, with later bars hidden until you answer.
  • Fill-Cost-Slippage Reviewtrader-fill-cost-slippage-reviewCompare fill costs and unfinished quantity from supplied or modeled fills.
  • Strategy Reviewtrader-strategy-reviewDecide what supports continuing, revising, pausing or retiring a method.
  • Paper Testingtrader-paperFix a time-limited paper test before you see the results, then review its coverage.
  • Trade Journaltrader-journalImport supported Alpaca fill exports, reconcile the trade and pick one review action.

Local tools

Tools that run on your machine and show their arithmetic.

Fourteen small Python tools across ten skills, standard library only. All but the optional Alpaca bars collector run offline. Shown here: the two Trade Time Machine calculations, on bars and session results you supply.

A gap through the stopreplay.py
A replayed trade where price gaps through the stop Price drifts down toward a 95 dollar stop, then the next bar opens at 92 dollars 40. The replay fills the stop at 92 dollars 30, a loss of 1.53 times the planned risk. $95 stopstop Filled $92.30
Planned risk
$51.00
Net result
−$78.20
Of planned risk
−1.53R

Replay one trade against the bars

A long or short plan, bar by bar: delayed entry, slippage, fees, gaps through the stop, and bars that leave the outcome ambiguous.

Equity over 20 sessionsscenarios.py
Sixty resampled equity paths over 20 sessions Paths start at 1,000 dollars and spread out. Across all 1,000 paths the 5th percentile ends at 970, the median at 1,030 and the 95th percentile at 1,090. $1,090 $1,030 $970 Session 1Session 20
Median ending equity
$1,030
Median max drawdown
$24
Paths ending below start
17.6%

See the spread your own results imply

Resample your net session results with a seeded block bootstrap. Shown: 60 of the 1,000 paths from the four-session sample input in the documentation.

Neither of these is a strategy backtester. The tools do not find signals, forecast prices or show that a strategy has an edge; they make the assumptions in your plan visible.

Boundaries

A research partner, not an autopilot.

The skills are built around what an AI agent can responsibly do for a trader, and they are explicit about the rest. It is a toolkit your agent uses, not an app or a dashboard.

No order placement

Nothing places, changes or cancels an order, live or paper. Risk Check can read an account snapshot you authorize, and nothing more.

No signal feed

Nothing tells you what to buy. The skills work on setups and criteria you define.

No promised edge

Replays and scenarios test assumptions. They cannot predict returns or prove an edge.

Day Trader Skills

The whole workflow, for one price.

$19 one time

  • All 15 editable skill folders
  • Fourteen local Python tools, with their tests
  • Editable starter setup cards and scanner screens
  • Personal-use license, provided as is: adapt every rule for yourself
Get all 15 skills

Secure checkout by Whop. No subscription.

All sales final, except where required by law. For questions or problems, contact support@skills.zip.

Questions

Before you buy.

What exactly am I buying?

Fifteen skill folders: instructions and references that guide your AI agent through trading research, planning and review. Local Python tools support sizing, saved-data screens, replay, practice and trade review. It is a downloadable toolkit, not a standalone trading app.

Does it trade for me?

No. The skills cover research, trade planning and paper testing. Nothing places, changes or cancels an order, live or paper, and nothing monitors the market for you. Risk Check can read an account snapshot you authorize.

Will it tell me which trades will win?

No. Replay and scenarios help you inspect assumptions and explore outcomes. Bull-Bear Cycle compares a stock with its sector and the market; it does not predict cycles. None of it can predict the future or establish that a strategy is profitable.

Is the Time Machine a backtester?

No. One tool replays a single supplied trade plan against OHLC bars, including costs, gaps and ambiguous exit ordering. The other resamples your supplied net session results into equity and drawdown scenarios. Neither searches history for signals or runs a full strategy test.

What do I need to use it?

Claude Code or Codex, and Python 3.9 or newer for the local tools. For market data the skills use your existing Alpaca MCP connection, or files you supply. Buying the skills does not set up Alpaca; your agent can help install missing prerequisites with your permission. Agent and data accounts are your own, and their costs are separate.

Can I get a refund or help?

All sales final, except where required by law. For questions or problems, contact support@skills.zip.

Can I share or resell it?

No. The license covers your own use: you can install, edit and adapt the skills for yourself, and the package is provided as is. Redistribution and resale are not permitted.

Which markets and styles does it cover?

Intraday setups you define for US stocks and ETFs, long or short. Short planning asks for borrow and cost assumptions. Options, futures and crypto are outside this bundle.

Give the next plan a harder look.

Get all 15 skills · $19 Try the replay