post-market-debrief
Skill147 starsChanged 7 months agoNo licenceView on GitHub
用于盘后复盘，聚焦日常复盘 / 市场研究 / 交易总结。本skill主要用户问题回答、撰写报告、撰写金融类文章等场景。本报告输出内容较多，不适合简单对话场景。各类信息与数据的获取，可以使用wind.financial.data工具，以合理的关键字或关键字组合进行获取。收盘后需要快速复盘全天市场，搞清楚发生了什么、哪些信号值得重视、明天该怎么接。
In this repository78 other files it gives its agents.
- add_to_winner_decision_skillSkill
- after_close_watchlist_recap_skillSkill
- a-share-primary-theme-identificationSkill
- avatar-charlie-munger-thinkingSkill
- avatar-nassim-taleb-riskSkill
- avatar-naval-ravikant-thinkingSkill
- avatar-warren-buffett-investingSkill
- backtest-expertSkill
- breakout_candidate_finder_skillSkill
- breakout_trade_execution_skillSkill
- bull_bear_case_builder_skillSkill
- business_model_decoder_skillSkill
- buyback_program_reviewer_skillSkill
- canslim_growth_scan_skillSkill
- conference_call_takeaway_skillSkill
- daily_watchlist_morning_brief_skillSkill
- dcf-modelSkill
- dip_buy_decision_skillSkill
- dividend_change_explainer_skillSkill
- dividend_growth_entry_skillSkill
- earnings-analysisSkill
- earnings_calendar_planner_skillSkill
- earnings_momentum_setup_skillSkill
- earnings_preview_skillSkill
- earnings_reaction_interpreter_skillSkill
- equity-investment-thesisSkill
- failed_breakout_exit_skillSkill
- gap_open_interpreter_skillSkill
- growth_quality_check_skillSkill
- guidance_change_impact_skillSkill
- high_quality_compounder_finder_skillSkill
- hot_stock_quick_read_skillSkill
- industry_chain_signal_skillSkill
- institutional_position_shift_skillSkill
- intraday_abnormal_move_alert_skillSkill
- macro_event_market_impact_skillSkill
- major_announcement_impact_skillSkill
- management_quality_check_skillSkill
- market_breadth_health_skillSkill
- market-environment-analysisSkill
- market_regime_switch_skillSkill
- market_sentiment_temperature_skillSkill
- moat_strength_review_skillSkill
- northbound_capital_flow_skillSkill
- pead_opportunity_skillSkill
- peer_comparison_decision_skillSkill
- policy_headline_interpreter_skillSkill
- position-sizerSkill
- position_sizing_decision_skillSkill
- premarket_trade_checklist_skillSkill
- price_target_reach_alert_skillSkill
- pullback_opportunity_finder_skillSkill
- sec_filing_question_answer_skillSkill
- sector_rotation_radar_skillSkill
- shareholder_letter_digest_skillSkill
- stock_first_look_skillSkill
- stock_research_memo_writer_skillSkill
- stop_loss_discipline_skillSkill
- support_break_warning_skillSkill
- take_profit_ladder_skillSkill
- The first 60 shown.
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.