菜单
Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.
Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.
Recommend the right trading workflow, skillset, API profile, and setup path from a natural-language goal. Use this as the on-ramp when a user expresses a trading or investing goal and needs to know which skill/workflow to use, where to start, or whether something works without paid API keys — e.g. "where do I start", "which skill should I use", "I want to swing trade only when the market is favorable", "what works without API keys", "どれを使えばいい", "API キー無しで 使えるものは". Routes and explains only; it never executes trades or auto-runs other skills, and it is honest when no workflow has shipped yet.
Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.
Track investment theses across their lifecycle — from screening idea to closed position with postmortem. Register theses from screener outputs, manage state transitions, attach position sizing, review due dates, and generate postmortem reports with P&L and MAE/MFE analysis. Trigger when user says "register thesis", "track this idea", "thesis status", "review due", "close position", "postmortem", or "trading journal".
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
| name | edge-strategy-designer |
| description | Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation. |
Translate concept-level hypotheses into concrete strategy draft specs. This skill sits after concept synthesis and before pipeline export validation.
edge_concepts.yaml and need strategy candidates.PyYAMLedge_concepts.yaml produced by concept synthesisstrategy_drafts/*.yamlstrategy_drafts/run_manifest.jsonexportable_tickets/*.yaml for downstream export_candidate.pyedge_concepts.yaml.conservative, balanced, aggressive).HYPOTHESIS_EXIT_OVERRIDES to adjust stop-loss, reward-to-risk, time-stop, and trailing-stop per hypothesis type (breakout, earnings_drift, panic_reversal, etc.).RR_FLOOR=1.5 to prevent C5 review failures.skills/edge-candidate-agent/scripts/export_candidate.py.Generate drafts only:
python3 skills/edge-strategy-designer/scripts/design_strategy_drafts.py \
--concepts /tmp/edge-concepts/edge_concepts.yaml \
--output-dir /tmp/strategy-drafts \
--risk-profile balanced
Generate drafts + exportable tickets:
python3 skills/edge-strategy-designer/scripts/design_strategy_drafts.py \
--concepts /tmp/edge-concepts/edge_concepts.yaml \
--output-dir /tmp/strategy-drafts \
--exportable-tickets-dir /tmp/exportable-tickets \
--risk-profile conservative
skills/edge-strategy-designer/scripts/design_strategy_drafts.pyreferences/strategy_draft_schema.mdskills/edge-candidate-agent/scripts/export_candidate.py