openclaw-workspace
Summary
This workspace provides an AI-driven environment for analyzing reporting data, conducting BigQuery analyses, and managing todos. The focus is on Metabase reports, deep analysis of user journeys and issues for a financial app using BigQuery, and organizing operational or agent workflows. Documentation, agent memory, and project reference materials are included.
Included Assets
- AGENTS.md: Agent operational instructions and memory management guides.
- MEMORY.md: Workspace long-term memory and essential business definitions.
- SOUL.md: Agent guidelines, personality, and behavioral boundaries.
- TOOLS.md: Local environment, device, and tool configuration notes.
- docs/
- emma-analysis/: Full stack of markdown reports on user lifecycle, root cause, triggers, and user journeys around "919" carrier verification error.
README.md,919_root_cause_analysis.md,919_trigger_monthly.md,919_user_journey.md
DEFINITIONS.md: Definitions for audience dashboard metrics and 919 error criteria.audience_dashboard.html: Static dashboard for retention cohort analysis.
- emma-analysis/: Full stack of markdown reports on user lifecycle, root cause, triggers, and user journeys around "919" carrier verification error.
- invoice-prototype/
README.md: Details about the AI-powered finance insight app prototype.package.json: React/Firebase app package and scripts.
How to Use
-
Agent Operation:
- Begin each session by reviewing
SOUL.mdfor agent persona and workspace rules. - For context and continuity, consult
AGENTS.mdfor memory instructions, and useMEMORY.mdin main sessions to keep track of significant events and curated knowledge.
- Begin each session by reviewing
-
Data Analysis:
- BigQuery SQL logic and metric definitions are in
docs/DEFINITIONS.mdanddocs/emma-analysis/subfolder. - Explore root cause and lifecycle analyses of app user retention and "919" verification issues via the markdown files in
docs/emma-analysis/. - For dashboard usage, reference
docs/audience_dashboard.html(static HTML).
- BigQuery SQL logic and metric definitions are in
-
Prototype Application:
- The "invoice-prototype" directory contains a React app for financial insights.
- Install dependencies and run scripts as specified in
invoice-prototype/package.jsonto develop or preview the prototype app.
-
Customization:
- Record local hardware, SSH, or environment specifics in
TOOLS.md. - Update memory and operational notes as agent sessions progress.
- Record local hardware, SSH, or environment specifics in
Notes
- This workspace is designed for agents and users who need reliable, reproducible setups for data-driven analysis and reporting, especially with rapidly changing operational or technical context.
- The internal memory system uses both daily logs and curated summaries for context retention.
- All analysis and process documentation is provided in Markdown or HTML for ease of review and replication.
- The React prototype app uses Firebase for real-time data and can be run locally or deployed.
- Most documentation and analysis is targeted at a Mandarin-speaking audience, with a focus on Taiwan e-invoicing and app lifecycle issues. Some files include sample SQL queries and metric tables for advanced analytics usage.
- No backend orchestration or external automation tooling is bundled; external connections (such as to Metabase or BigQuery) are expected to be managed via your own credentials and infrastructure.
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