Current collected state Current
Observed since 21 Oct, 10:37 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
AI e-commerce skills for Qianchuan advertising operations, compatible with Codex/OpenClaw/Cursor
AI e-commerce skills for Qianchuan (巨量千川) advertising operations.
Compatible with Codex, OpenClaw, and Cursor.
pip install ai-ecom-skills
# Install skill to all platforms (Codex/OpenClaw/Cursor)
python -m ai_ecom_skills.cli install
# Set backend API URL
export BACKEND_API_BASE_URL=http://localhost:8080 # macOS/Linux
set BACKEND_API_BASE_URL=http://localhost:8080 # Windows
# Restart your agent (Codex/OpenClaw/Cursor)
python -m ai_ecom_skills.cli install # Install to all platforms
python -m ai_ecom_skills.cli install codex # Install to Codex only
python -m ai_ecom_skills.cli install openclaw # Install to OpenClaw only
python -m ai_ecom_skills.cli uninstall # Uninstall from all platforms
python -m ai_ecom_skills.cli list # Show installation status
python -m ai_ecom_skills.cli info # Show skill information
from ai_ecom_skills.skills.review_summary import ReviewSummarySkill
from ai_ecom_skills.schemas.agent import AgentTaskRequest
skill = ReviewSummarySkill()
request = AgentTaskRequest(
targetId="plan-001",
context={
"metrics_before": {"roi": 2.5, "cost": 100.0},
"metrics_after": {"roi": 3.8, "cost": 120.0},
"execution_label": "提高预算 20%",
},
)
suggestion = skill.run(request)
print(suggestion.summary)
MIT
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.9 | 14 May 2026 | 7 |
This describes our collected data; it is not a security assessment.
Observed since 21 Oct, 10:37 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:813af3c06b19f3019b644d71076108ec9932419506026d15c3c5c0c6a1e14666