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。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/aAAaqwq/AGI-Super-Team --skill weekly-review命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
币安广场合约投机雷达 v5:以最近24小时专业交易帖为主要证据,回源核验帖子, 联合币安公共合约行情、4周期K线、布林带、ATR、量能和RR,生成可审计的本地影子报告。 触发词:币安广场、扫描币安、binance square、合约机会、交易信号雷达、4小时雷达
BTC 5分钟K线实时方向预测。v5.9对抗式审查重构: 13因子收敛到3个有证据信号(half_body延续+volume放量+meanrev回归, 11个47-49%硬币因子清零) + 三层独立信息过滤(多周期4h/1h/15m趋势 + 跨资产ETH/SOL广度 + 真订单流OFI) + 移除bull×0.92惩罚/Platt置信度门控。半K线策略第2分钟执行。黑天鹅防护: ATR spike+FNG<25。Binance端点双向故障切换。
BB 双向套利策略:加密合约 10x 杠杆布林带均值回归。布林带收窄=横盘→在下轨买、上轨卖;三重过滤器(1h趋势/RSI/BB甜区)确认碗平放,轨对轨止盈(RR 2:1~4:1)。含实时WebSocket模拟盘(paper)、历史回测(simulate/backtest_daily)、币安永续实盘CLI(trade_exec)。触发:'bb套利'、'布林带'、'bollinger'、'横盘策略'、'NEAR'、'回测'、'模拟盘'、'paper trading'。
基于 SOC 职业分类
| name | weekly-review |
| description | Weekly project review report |
Weekly work review -- hours, tokens, progress
| What | Path |
|---|---|
| Tasks | $PM_PATH/pm_tasks_master.csv |
| Execution Log | $PM_PATH/pm_execution_log.csv |
| Learnings | $PM_PATH/pm_learnings.csv |
| Script | $PROJECT_ROOT/projects/scripts/weekly_report.py |
cd $PROJECT_ROOT
python3 projects/scripts/weekly_report.py
import pandas as pd
from datetime import date, timedelta
# Last 7 days
week_ago = str(date.today() - timedelta(days=7))
today = str(date.today())
tasks = pd.read_csv('$PM_PATH/pm_tasks_master.csv')
log = pd.read_csv('$PM_PATH/pm_execution_log.csv')
learnings = pd.read_csv('$PM_PATH/pm_learnings.csv')
# Filter by date
log_week = log[(log['date'] >= week_ago) & (log['date'] <= today)]
# Total hours
total_hours = log_week['duration_minutes'].sum() / 60
print(f"Total hours: {total_hours:.1f}")
# Total tokens
total_tokens = log_week['tokens_total'].sum()
print(f"Total tokens: {total_tokens:,}")
# Completed tasks
completed = tasks[(tasks['status'] == 'done') & (tasks['last_updated'] >= week_ago)]
print(f"Tasks completed: {len(completed)}")
# By activity type
by_type = log_week.groupby('activity_type')['duration_minutes'].sum() / 60
print("\nBy type:")
print(by_type)
# By project
by_project = log_week.groupby('project_id')['duration_minutes'].sum() / 60
print("\nBy project:")
print(by_project)
=== WEEKLY REPORT ===
Period: 2025-01-27 — 2025-02-03
METRICS
* Hours: 12.5
* Tokens: 45,230
* Tasks completed: 8
BY PROJECT
* proj-001 (Client D): 6.5 hrs
* proj-002 (CRM): 4.0 hrs
* proj-003 (Infra): 2.0 hrs
BY TYPE
* coding: 5.5 hrs
* research: 3.0 hrs
* planning: 2.0 hrs
* discussion: 2.0 hrs
COMPLETED TASKS
* [proj-001] Send outreach
* [proj-001] Check responses
* [proj-002] Update CRM schema
...
LEARNINGS
* Telegram has a 60 sec limit between messages
* WhatsApp does not sync history
...
BLOCKED
* [proj-003] task-004: Waiting for Tailscale account
NEXT WEEK
* Finish proj-001
* Start proj-004
report_path = f'$PROJECT_ROOT/reports/weekly_{today}.md'
with open(report_path, 'w') as f:
f.write(report_content)
show-today -- what's for today