self-improvement
Learn from executed trades and research notes to improve future decisions.
Skill by matiasvillaverde
Install
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
Use cases: research, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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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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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- 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
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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Run virattt/ai-hedge-fund for multi-agent analysis and convert output into a risk-defined plan.
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alpaca-paper
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Execute paper/live trades on Alpaca with strict risk controls, stop automation, and friction-aware planning.
SkillDFreshness: D★ 1Claude Code +9 - 0.426score
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End-of-day and rolling review of trade outcomes to improve rules and skills.
SkillDFreshness: D★ 1Claude Code +9 - 0.426score
financial-datasets
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Query FinancialDatasets for price/fundamental data to support trade decisions.
SkillDFreshness: D★ 1Claude Code +9 - 0.426score
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Perform deep current-news and sentiment research before opening risk.
SkillDFreshness: D★ 1Claude Code +9 - 0.426score
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Cite this page
self-improvement skill. Agent Mart. https://agentmart.dev/skills/matiasvillaverde-self-improvement (last updated 2026-10-24)