How does this skill help me avoid making reactive business decisions?

This skill provides a structured framework to filter raw data and observations into a prioritized roadmap, ensuring you address the root causes of business issues rather than just reacting to superficial symptoms.

Does this skill require access to my internal data sources or live dashboards?

No, this skill is a standalone logic processor; you simply paste your metrics or reports directly into the chat to begin the analysis.

What kind of output can I expect after providing my business signals?

The skill generates a comprehensive, prioritized brief that includes specific deliverables, success measures, and defined 'stop/reassess' conditions for each proposed task.

Why should I use this skill instead of just asking a standard AI agent to write a plan?

Unlike generic prompts, this skill enforces strict data integrity by checking units and denominators while requiring evidence-based validation before suggesting high-effort initiatives.

Which AI platforms or agents are compatible with the Business Signals Action Plan?

This skill is designed to work with any chat-based AI agent that supports custom instructions or system prompts, making it highly flexible for your existing workflow.

Are there any specific limitations regarding data validation I should be aware of?

While the skill is excellent for identifying patterns and levers, it cannot verify actual causality or calculate statistical significance; those must be validated by your internal teams.

Business Signals to Action Plan

Example session with this skill installed

Help prioritize next week. Goal: more completed trials. [S1] Last month 1,000 trial starts, 200 completions; this month 1,200 starts, 180 completions. [S2] Support mentions confusing setup, but no count. One engineer is available for two days. No experiment has run.

Read your context and instructions
Compiled the business signals to

Within-month completion/start ratios fell from 20% (200/1,000) to 15% (180/1,200): down 5 percentage points, or 25% relative [S1]. These are provisional ratios, not established cohort conversion rates; completion and start populations may differ. Starts rose 20%, while completions fell 10%. Setup confusion is a candidate explanation, not established cause [S2]. Priority 1: use part of the two-day capacity to check event definitions and compare cohort completion windows; owner proposed: available engineer; completion evidence: reconciled counts with matching observation windows. Priority 2: review a small redacted sample of setup failures and support cases to locate a repeated blocker; owner unassigned. If a consistent blocker is found, scope one reversible fix for the remaining capacity. Success measure: completion rate for comparable trial cohorts over an agreed window; no improvement target is approved yet. Reassess before building if the metric change is a tracking/cohort artifact. Plan is provisional; no experiment or fix was executed.

Connects securely to your tools. The creator never sees your data.

About this skill

Turn supplied business observations and metrics into a prioritized, evidence-linked action plan.

What you receive

An evidence summary, transparent calculations, ranked actions, proposed owners, success measures, and reassessment conditions.

When to use it

Use this skill to turn supplied business signals into a prioritized, measurable action plan.

What to provide

Supply the relevant code, schema, design notes, brief, or evidence together with the intended business result and constraints. Sanitized examples are sufficient to begin. The agent identifies missing details that materially affect the recommendation and labels conditional conclusions.

Boundaries

This is an advisory workflow for supplied evidence. It does not connect to a database, tenant, production system, or business application by itself. Runtime execution, deployment, remediation, and external actions are not included. No benchmark, security certification, compliance approval, or business outcome is guaranteed. Proposed validation remains unexecuted unless separately run with authorized tools.

Package

One SKILL.md with the complete workflow. One-time purchase. Your AI assistant and any source-system licenses are separate.

How to use

1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.

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Business Signals to Action Plan