findings-to-tickets

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Aktualisiert18. Juli 2026 um 15:25

Convert lean-findings.json into a ready-to-import sprint backlog — GitHub Issues, Jira, or Linear tickets with severity labels, effort estimates, acceptance criteria, and pattern links. Use this skill whenever the user wants audit findings as tickets/issues/backlog items, asks to "make this actionable" or "put these in Jira/GitHub", or wants remediation work assigned to a sprint. Part of Lean Agentic AI Skills; a transformer from findings to work items.

Installation

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

Quelle

navveenb

navveenb/lean-agentic-ai-skills

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

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SKILL.md

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name

findings-to-tickets

description

Findings to Tickets

Transformer skill — the actionability bridge. Input: one or more findings files, plus the target tracker (GitHub/Jira/Linear) and any team conventions (labels, components, estimate scale). Output: importable ticket definitions (JSON/CSV for the tracker's import, or gh/jira CLI commands, or direct creation when a tracker connector is available and the user confirms).

An audit that ends as a PDF decays; an audit that ends as a backlog gets burned down. The mapping is mechanical because the contract already carries everything a good ticket needs.

Ticket mapping

Per finding:

Title — imperative rewrite of the finding title ("Serve hero images in modern formats" not "Hero images served as PNG").
Body — issue + evidence verbatim (the evidence is what convinces the assignee it's real), the fix as the proposed approach, the pattern URL as reference, and a one-line "why it matters" from the impact field — directional language preserved, never embellished into savings claims.
Acceptance criteria — derived from the fix, checkable ("images in the first viewport served as AVIF/WebP with srcset; verified in a network trace"). Where the finding pairs with a measurement, the criterion says measured-before/after, not "feels faster".
Labels — sustainability, severity (sev:high), SCI term (sci:E), producer skill (audit:web-carbon-audit).
Estimate — from the effort field mapped to the team's scale (low→S/1pt etc.), flagged as a starting point for the team's own sizing.
Grouping — quick wins (effort low, severity ≥ medium) batched into one clearly-labeled early milestone; structural items (effort high) as epics with the related findings as children when several share a cause.

Rules

Fidelity over polish: tickets never claim more than the finding does; the methodology caveats travel in the epic/milestone description so context survives the export.
passed items are not tickets. out_of_scope items become at most one "investigate" ticket each, clearly typed as investigation, and only when the user opts in.
Dedup on re-export: stable finding id goes in the ticket body as a marker (lean-id: hero-images-legacy-format) so re-running the export after a re-audit updates rather than duplicates — and closes the loop with findings-diff (resolved findings → suggested ticket closures, listed for human confirmation, never auto-closed).
Direct tracker writes only with explicit confirmation and a dry-run list shown first.

Cost signal rendering

Include the cost signal. Where a finding carries cost_signal, include one line in the ticket body: "Cost driver: {driver} — currently {observed}. Direction: {direction}." This gives assignees the honest business case without inventing figures.

Not this skill's job

Producing findings (producers), deciding priorities beyond the severity/effort data (the team's call), gating merges (lean-regression-gate).

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name

findings-to-tickets

description

Findings to Tickets

An audit that ends as a PDF decays; an audit that ends as a backlog gets burned down. The mapping is mechanical because the contract already carries everything a good ticket needs.

Ticket mapping

Per finding:

Title — imperative rewrite of the finding title ("Serve hero images in modern formats" not "Hero images served as PNG").
Body — issue + evidence verbatim (the evidence is what convinces the assignee it's real), the fix as the proposed approach, the pattern URL as reference, and a one-line "why it matters" from the impact field — directional language preserved, never embellished into savings claims.
Acceptance criteria — derived from the fix, checkable ("images in the first viewport served as AVIF/WebP with srcset; verified in a network trace"). Where the finding pairs with a measurement, the criterion says measured-before/after, not "feels faster".
Labels — sustainability, severity (sev:high), SCI term (sci:E), producer skill (audit:web-carbon-audit).
Estimate — from the effort field mapped to the team's scale (low→S/1pt etc.), flagged as a starting point for the team's own sizing.
Grouping — quick wins (effort low, severity ≥ medium) batched into one clearly-labeled early milestone; structural items (effort high) as epics with the related findings as children when several share a cause.

Rules

Fidelity over polish: tickets never claim more than the finding does; the methodology caveats travel in the epic/milestone description so context survives the export.
passed items are not tickets. out_of_scope items become at most one "investigate" ticket each, clearly typed as investigation, and only when the user opts in.
Dedup on re-export: stable finding id goes in the ticket body as a marker (lean-id: hero-images-legacy-format) so re-running the export after a re-audit updates rather than duplicates — and closes the loop with findings-diff (resolved findings → suggested ticket closures, listed for human confirmation, never auto-closed).
Direct tracker writes only with explicit confirmation and a dry-run list shown first.

Cost signal rendering

Not this skill's job

Producing findings (producers), deciding priorities beyond the severity/effort data (the team's call), gating merges (lean-regression-gate).