Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/aAAaqwq/AGI-Super-Team --skill daily-briefing명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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'。
SOC 직업 분류 기준
SKILL.md 표시 중
| name | daily-briefing |
| description | Morning briefing: tasks + email + follow-ups |
Morning summary: tasks, emails, follow-ups, priorities
| What | Path |
|---|---|
| Tasks | $PM_PATH/pm_tasks_master.csv |
| Leads | $CRM_PATH/relationships/leads.csv |
| People (CRM) | $CRM_PATH/contacts/people.csv |
| Email script | $GOOGLE_TOOLS_PATH/read_emails.py |
import pandas as pd
from datetime import date
today = str(date.today())
tasks = pd.read_csv('$PM_PATH/pm_tasks_master.csv')
# Deadline today
deadline_today = tasks[tasks['deadline'] == today]
# In progress
in_progress = tasks[tasks['status'] == 'in_progress']
# Hot tasks (not done)
hot_tasks = tasks[(tasks['priority'] == 'hot') & (tasks['status'] != 'done')]
# Top by priority score
tasks_sorted = tasks[tasks['status'].isin(['todo', 'in_progress'])].sort_values(
'priority_score', ascending=False
)
leads = pd.read_csv('$CRM_PATH/relationships/leads.csv')
leads_today = leads[leads['next_action_date'] == today]
try:
people = pd.read_csv('$CRM_PATH/contacts/people.csv')
followups = people[people['next_followup_date'] == today]
except:
followups = pd.DataFrame()
cd $GOOGLE_TOOLS_PATH
python3 read_emails.py 10
## Good Morning! Daily Briefing for [DATE]
### Inbox ([N] unread)
| From | Subject | Preview |
|------|---------|---------|
| ... | ... | ... |
### Deadline TODAY
| Task | Project | Description |
|------|---------|-------------|
| ... | ... | ... |
### In Progress
| Task | Project | Description |
|------|---------|-------------|
| ... | ... | ... |
### Hot Tasks (Top 5)
| Score | Task | Description | Note |
|-------|------|-------------|------|
| ... | ... | ... | ... |
### Leads Follow-ups TODAY (source of truth)
| Lead | Next Action | Stage |
|------|-------------|-------|
| ... | ... | ... |
### CRM Follow-ups TODAY
| Person | Company | Note |
|--------|---------|------|
| ... | ... | ... |
### Recommended to Start
**[Task name]**
- Project: [project_id]
- Description: [description]
- Why: highest priority_score / blocking others / deadline approaching
For Claude to run daily briefing:
IMPORTANT: If during briefing user says a task is already done, or you discover from email/context that a task was completed:
See pm-done skill for full logic and auto-follow-up rules.
pm-done - Mark task done + follow-upshow-today - Tasks only (no email/crm)email-read - Email onlyquery-leads - CRM detailsweekly-review - Weekly review