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 update-lead명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| name | update-lead |
| description | Update status, contacts, notes in CRM |
Updating status, priority, and other fields of an existing lead
| What | Path |
|---|---|
| Leads | $CRM_PATH/relationships/leads.csv |
| People | $CRM_PATH/contacts/people.csv |
import pandas as pd
from datetime import date
# Load
df = pd.read_csv('$CRM_PATH/contacts/people.csv')
# Find by linkedin_url or email
mask = df['email'] == 'example@email.com'
# or
mask = df['linkedin_url'] == 'https://linkedin.com/in/example'
# Update fields
df.loc[mask, 'status'] = 'responded'
df.loc[mask, 'priority'] = 'high'
df.loc[mask, 'notes'] = 'Responded positively 2025-02-03'
df.loc[mask, 'last_updated'] = str(date.today()) # REQUIRED!
# Save
df.to_csv('$CRM_PATH/contacts/people.csv', index=False)
import pandas as pd
from datetime import date
leads = pd.read_csv('$CRM_PATH/relationships/leads.csv')
mask = leads['lead_id'] == 'lead-example-001'
leads.loc[mask, 'stage'] = 'qualified'
leads.loc[mask, 'next_action'] = 'Schedule discovery call'
leads.loc[mask, 'next_action_date'] = '2026-03-10'
leads.loc[mask, 'last_updated'] = str(date.today())
leads.to_csv('$CRM_PATH/relationships/leads.csv', index=False)
# Update all who responded "yes"
responded_emails = ['email1@test.com', 'email2@test.com']
for email in responded_emails:
mask = df['email'] == email
df.loc[mask, 'status'] = 'responded'
df.loc[mask, 'priority'] = 'high'
df.loc[mask, 'last_updated'] = str(date.today())
df.to_csv(path, index=False)
new -> qualified -> proposal -> negotiation -> won/lost
new -> researched -> contacted -> responded -> meeting -> won/lost
Do not skip stages without a reason.
leads.csv next_action is the canonical source for sales follow-ups.
next_action and next_action_date in leads.csv.Leads have three source fields:
last_updatedstatus -- add an explanation in notesresponse or notesnext_action + next_action_date in leads.csv (not pm_tasks)query-leads -- find a lead before updatinglog-activity -- log activitytelegram-check -- check for responses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