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self-improvement

Learn from executed trades and research notes to improve future decisions.

Skill by matiasvillaverde

IndexedMIT★ 1
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/matiasvillaverde-self-improvement

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Learn from executed trades and research notes to improve future decisions.

Use cases: research, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/self-improvement

What's inside

Skill name
self-improvement
Description
Learn from executed trades and research notes to improve future decisions.
License
MIT
Instructions
56 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Self Improvement Loop

Run after trading sessions and at end of day:

```bash
python3 ${OPENCLAW_HOME:-$HOME/.openclaw}/tools/risk/self_improve.py
```

Reads journal tags:
- `SETUP:`
- `RESULT:` WIN/LOSS/BREAKEVEN
- `R_MULTIPLE:`
- `ERROR:`

Writes:
- `trading/learning/latest-summary.json`
- `trading/learning/latest-summary.md`

Use output to update sizing, setup selection, and process rules.

Weekly cadence: follow the *Keep / Stop / Test* loop in
`knowledge/wiki-highlights/JOURNAL.md`. Reference
`knowledge/wiki-highlights/SIZING.md` when reviewing R-multiple
distribution and expectancy by setup, and
`knowledge/wiki-highlights/PSYCHOLOGY.md` when a rule violation is
the root cause rather than the strategy.

Bias-pattern aggregation (weekly): the `eod-review` skill tags every
losing trade and rule violation with the Munger tendencies that fired
(see `knowledge/wiki-highlights/MUNGER.md`). The weekly job here is
to look at the *aggregate* — not which biases fired on which trade,
but which biases keep firing across trades. Specifically:

- **A single tendency firing repeatedly** = a personal weakness to
  build a process antidote against. Example: if #14 Deprival
  Superreaction shows up on 4 of 7 losers this week, the antidote is
  not "try harder" but a *mechanical rule* that fires before you
  feel anything (e.g., "any position down 1.5R is closed without
  human intervention").
- **Lollapalooza events** (#25 — multiple tendencies firing on the
  same trade) decay slowest and damage most. Track them as their
  own column. Two lollapaloozas in a week is a *standdown* signal,
  even if total PnL is fine.
- **Errors of omission** — Munger and Buffett both stress that
  errors of omission (good trades you didn't take) typically dwarf
  errors of commission. The weekly review should explicitly list 1-3
  setups you saw but did not act on, what tendency stopped you, and
  what would have happened. Don't double-count regret, but don't
  pretend the misses didn't happen either.

The output of this aggregation feeds the *Stop* and *Test* lists in
the weekly Keep/Stop/Test loop. The *Keep* list comes from the
process scorecard; the *Stop* and *Test* lists come from the bias
aggregation.

From matiasvillaverde/openclaw-trader, MIT.

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Last commit (this folder)
Apr 8, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

self-improvement skill. Agent Mart. https://agentmart.dev/skills/matiasvillaverde-self-improvement (last updated 2026-10-24)