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Smart Workbench
Turn messy business and technical documents into structured plans, evidence-based analysis, and extracted action items.
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Smart Workbench
Example session with this skill installed
Analyze these notes from the Q3 sync: Revenue up 12% ($4.2M), but churn hit 4.5%. Engineering delayed the API refactor to Oct 15. We need to decide if we hire more DevOps or postpone the migration.
- Read your context and instructions
- Compiled the smart workbench
I have processed the Q3 sync notes using the ANALYZE mode to identify key findings, risks, and implications.
Q3 Synchronization Analysis
Executive Finding
Revenue growth remains strong at 12% ($4.2M), but is partially offset by an increasing churn rate (4.5%) and technical debt delays in the API refactor.
Key Facts
- Revenue: $4.2M (12% increase).
- Churn Rate: 4.5%.
- API Refactor Deadline: Delayed to October 15.
Observations & Interpretations
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Performance: Top-line growth is healthy, but the churn rate may indicate underlying product friction or service issues.
*
Technical Debt: The API refactor delay suggests resource constraints or unforeseen complexity in the engineering pipeline.
Risks and Concerns
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Resource Conflict: A choice must be made between expanding the DevOps team or delaying the migration, indicating a capacity bottleneck.
- Retention: If churn continues at 4.5%, it will eventually erode the 12% growth gains.
Unknowns / Missing Information
- What was the previous churn rate for comparison?
- What is the specific budget available for new DevOps hires?
- What is the revised timeline for the migration if postponed?
Implications
Postponing the migration may increase long-term technical debt, while hiring DevOps will impact the Q4 budget but potentially stabilize the infrastructure needed for the API refactor.
Recommended Next Steps
- Quantify the cost of the migration delay versus the cost of onboarding two DevOps engineers.
- Investigate the primary reasons for the 4.5% churn (e.g., support tickets, exit surveys).
- Confirm the impact of the Oct 15 API delay on downstream product launches.
Next steps
- Provide the churn data from Q2 to refine the risk assessment.
- Paste the current DevOps budget to run a Decision Support comparison.
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About this skill
The Problem
Unstructured project data, messy meeting notes, and contradictory research documents often lead to decision paralysis or missed action items. Developers and managers frequently waste time manually parsing long threads and documents just to find the core facts and risks.
What It Does Extracts structured entities, dates, and requirements from unstructured text into clean Markdown tables. Decomposes complex problems into root causes, constraints, and validated investigation steps. Generates evidence-aware project plans with explicit TBD markers for missing dependencies. Compares technical or business options using objective criteria and trade-off analysis. Identifies risks, unknowns, and arithmetic inconsistencies in supplied documentation. Why This Beats Prompting It Yourself
Generic prompts often hallucinate missing details or force a “winner” in comparisons without enough data. This skill uses a strict, evidence-aware framework that explicitly separates facts from interpretations and refuses to invent missing dates, owners, or figures.
Use Cases Turn meeting transcripts into prioritized action plans with clear ownership and deadlines. Analyze vendor proposals to surface hidden risks and material differences in offerings. Break down ambiguous bug reports or system failures into logical problem-solving steps. Evaluate internal project proposals against specific success criteria and constraints. Known Limitations
Does not perform external web searches or live code execution. Requires user-provided text or documents as the primary evidence source.
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