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jbaruch/auto-skill-discovery

Automated pipeline that takes a company name and produces a custom Tessl skill plus an eval report showing per-scenario lift (baseline agent vs with-skill agent). A1 MVP cell of the produce/consume × personalization 2x2.

88

1.45x
Quality

86%

Does it follow best practices?

Impact

89%

1.45x

Average score across 13 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

task.mdevals/scenario-13/

Target Selection for StreamlineHQ

Problem/Feature Description

The discovery pipeline has completed a run for StreamlineHQ, a developer workflow automation company. The output is available at inputs/discovery.json. Your task is to run the full target selection workflow on this discovery output.

As part of this workflow, produce a ranked candidates file so the team can see the prioritized options. The engineering lead has reviewed the ranked list and confirmed they want to move forward with target tgt_02 (the webhook integration offering).

Complete the full target selection workflow through to writing and validating the selection artifact.

Output Specification

  • candidates-report.md — a markdown file containing the ranked candidate table produced in Step 3 of the workflow (the presentation to the human decision-maker)
  • the persisted selection artifact for the chosen target
  • The validator script output should be visible in your working notes or terminal output

evals

discovery-output-contract.md

README.md

tile.json