A structured AI workflow for generating data-driven monthly business planning reports grounded in real system evidence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bp-monthly-report
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bp-monthly-report using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is BP Monthly Report Skill?
The BP Monthly Report Skill is a professional automation tool designed for the Openclaw Skills framework to handle the complex task of drafting monthly business reports. It replaces manual data gathering with a staged workflow that fetches data directly from BP systems, maps progress to specific key results, and generates structured drafts based on fixed organizational templates. By enforcing a strict evidence-based approach, it ensures that every claim in a report is traceable to actual work updates and system nodes.
This skill is particularly valuable for organizations that require high levels of accountability and consistency across departments. It doesn't just write text; it orchestrates a technical process of normalizing templates, building evidence manifests, and evaluating progress through a standardized traffic-light system. Users can rely on this skill within Openclaw Skills to produce controllable, high-quality report baselines that significantly reduce manual administrative overhead.
BP Monthly Report Skill Use Cases
- Drafting monthly business performance reports based on fixed organizational templates.
- Automating evidence collection from BP system nodes to justify progress status.
- Generating quarterly reviews by rolling forward data from previous monthly baselines.
- Creating traffic-light status reports for key results and critical action items.
- Standardizing reporting formats across multiple business units or groups.
How BP Monthly Report Skill Works
- The process begins by identifying the target BP node using a node name, groupId, or specific periodId.
- The skill fetches BP goals, key results, and measurement standards directly from the connected BP system.
- It collects month-specific evidence and generates a manifest that maps facts to specific BP anchors.
- Fine-grained cards are created for each Key Result (KR) and action item to stabilize the data before drafting.
- The report is drafted section-by-section in a specific order (Sections 2-8 first, then Section 1) to ensure consistency and data integrity.
- A traffic-light judgment is applied to every major item, accompanied by explicit reasoning and source references.
- The final output is a structured Markdown report that includes human-review blocks for final validation.
BP Monthly Report Skill Setup
To deploy this skill within your environment, ensure all template assets and reference schemas are present in the designated paths. Use the following initialization logic:
# Initialize the reporting sequence for a specific node
# Minimum required inputs: periodId, groupId, and report_month
python scripts/collect_bp_month_evidence.py --node <node_id> --month <YYYY-MM>
# Map BP anchors to stabilize the skeleton
python scripts/dump_bp_anchor_map.py --input intake_summary.json
# Generate report artifacts
python scripts/build_dual_report_artifacts.py --config config.yaml
BP Monthly Report Skill Data Schema & Taxonomy
The skill organizes reporting data into a structured hierarchy to ensure traceability and auditability. Below are the primary data artifacts generated during the lifecycle:
| Artifact | Description |
|---|---|
| bp_anchor_map | A mapping of business goals to system-level identifiers and nodes. |
| evidence_ledger | A centralized collection of facts and report snippets mapped to BP anchors. |
| 04_cards | Modular data blocks for individual Key Results and Action Items. |
| 05_ai_baseline_report | The initial structured draft following the exact template heading tree. |
| 07_user_review_report | A finalized draft including traffic-light judgments and human-in-the-loop validation blocks. |
BP Monthly Report Skill Advanced Features
- Staged Drafting Logic: Prevents hallucinations by drafting the report in a non-linear section order based on data stability.
- Automated Traffic-Light System: Assigns status indicators (Green, Yellow, Red, Black) based on evidence density and progress metrics.
- Black-Light Resolution: Includes specialized workflows for items with no evidence, requiring users to categorize the gap (e.g., Not Started vs. Not Linked).
- Evidence Traceability: Every adopted evidence item includes direct links to the original source report via reportId.
- Rolling Baselines: Supports multi-month continuity by using previous report data as the starting point for new cycles within Openclaw Skills.
SKILL.md
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