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Gaells

technical-impact-analyst

by Gaells

generate_weekly_impact_summary

Compiles weekly GitHub contributions into an executive impact summary for stakeholders, featuring achievements, Karpathy Skills highlights, metrics, and business value translations.

Instructions

Generate an executive weekly impact summary for stakeholders.

Consolidates the week's activities into a structured report including:

  • Executive paragraph summarizing contributions

  • Key achievements list

  • Karpathy Skills highlights

  • Metrics snapshot

  • Business value translations (technical → business language)

  • Spider chart data for visualization

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoOptional repository filter.
usernameNoGitHub username.
week_offsetNoHow many weeks back (0 = current week, 1 = last week, etc.)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the burden of behavioral disclosure. It describes the report structure and that it consolidates weekly activities, which suggests a non-mutating aggregation, but it does not explicitly state side-effect safety, required permissions, or behavior when filters are omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with a one-sentence purpose followed by a scannable bullet list of report components. Every sentence/line adds meaningful detail and there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with three optional parameters and a rich output schema, the description gives a solid understanding of intended use and output sections. It omits edge cases like an empty week, but the schema and output schema cover most parameter and return semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already describes all three optional parameters with 100% coverage, so the baseline is 3. The description adds little beyond the word 'weekly' aligning with week_offset, and does not explain how repo or username would influence the summary content.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific action ('Generate an executive weekly impact summary for stakeholders') and enumerates distinct deliverables (key achievements, Karpathy Skills, metrics, business value translations, spider chart data). This clearly differentiates it from siblings like get_contribution_metrics or generate_client_report.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The context is clear: this is for a weekly executive stakeholder summary, implying a recurring cadence. However, it does not explicitly mention alternatives or state when not to use this tool versus siblings like generate_client_report.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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