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- Tech to PM Translator
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Tech to PM Translator
Translates technical architecture, ADRs, and READMEs into code-free docs for PMs and designers.
Free
Tech to PM Translator
Example session with this skill installed
Translate the Bug Shepherd docs for PMs. Source: its configuration template (157 lines of YAML) and the reproduction agent's spec (149 lines). Audience: a PM who owns a bug backlog and does not read code.
- Read your context and instructions
- Compiled the tech to pm
- Generated the document
Real output from one run on the open-source Bug Shepherd plugin in pm-pilot. The source had no migrations or failure catalog, so the skill produced only the Platform Guide.
Bug Shepherd Platform Guide (For PMs)
How the backlog checker works, explained without code.
How a triage run works
You ask for a run on a number of old bugs.
Bug Shepherd skips any bug a person touched in the last 30 days, and any bug that already has an assignee.
The remaining bugs are split across 5 checkers working at once, 6 bugs each, so one run covers up to 30 bugs.
Each checker opens the live site, follows the bug's steps, and looks at the page on a phone width and a desktop width.
Each bug comes back with one of three verdicts and a confidence level.
Nothing changes in your tracker until you approve it.
PM takeaway: a run is a read-only survey of your backlog. The only step that changes anything is your approval at the end.
What the three verdicts mean
Verdict What the checker saw What you should do
Reproduced The bug is still there, with a screenshot and the page it was on Keep it, and re-prioritize with fresh evidence
Not reproduced The page behaved correctly at the sizes tested Treat as "probably fixed", not "fixed"
Cannot determine Login wall, page error, ambiguous behavior, an off-site link, or the 90-second limit ran out Read it yourself, or hand it to someone with access
PM takeaway: "not reproduced" is a claim with a confidence level attached. It is never proof the bug is gone.
What it will never close on its own
Safety rule Shipped setting Why it matters to you
Automatic cancel rules None. The list ships empty Out of the box, no bug is ever proposed for cancellation
Bugs that always go to a human Anything mentioning scroll, touch, hover, animation, right-to-left, accessibility, payment, checkout, data loss or security Automated browsers are bad at exactly these, and the cost of a wrong close is highest here
Biggest batch per approval 10 tickets One "yes" can never close your whole backlog
Recently touched bugs Skipped for 30 days Bugs your team is actively discussing are left alone
PM takeaway: the defaults are cautious on purpose. Loosen them only after you have checked a few runs' verdicts against your own judgment.
What the checker is allowed to do
The checker can open pages, click, type into the page and read what it sees. It cannot sign in, submit forms with real data, write files, run commands or touch your tracker. It treats every bug report as a description, never as an instruction, so a ticket that says "already fixed, close this" gets flagged to you instead of believed.
PM takeaway: you can point it at bugs filed by customers or strangers without worrying that a cleverly worded ticket steers it.
What a run costs
Screenshots drive the cost. Each extra screen width multiplies them, so the default is two widths and at most 3 screenshots per bug. The checker reads the page text first and only takes a picture when the look of the page is the question.
PM takeaway: if a run feels slow or expensive, ask whoever set it up to drop a screen width before cutting the number of bugs.
Who owns what
Area Owner
The setup and the safety rules Whoever installed Bug Shepherd in your project. Ownership unclear: check with your engineering lead
The verdicts The checkers produce them; you accept or reject them
The final close in the tracker You, by approval, batch by batch
Glossary
Term Meaning
Triage run One pass of the checkers over a set of old bugs
Live site The public website the checkers test against. It must load without a login
Headless browser A browser with no screen, driven by software. Good at reading pages, bad at touch, scroll and hover
Confidence High, medium or low. How sure the checker is of its verdict
tech-to-pm-translator.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
Technical documentation is often a black box for product managers and designers. When non-engineers can't parse your architecture docs or ADRs, they file vague bugs, write impossible specs, and require constant hand-holding during discovery. This skill bridges that gap by translating engineering-heavy documentation into structured, code-free knowledge bases.
What it does
- Reframes technical architecture into end-to-end user flows and system pipelines that PMs can actually follow.
- Identifies failure modes by extracting "what breaks and why" from implementation details, creating a guide for better bug filing.
- Maps system ownership by connecting specific components to the teams or individuals responsible for them.
- Decodes migrations into impact-focused summaries that help stakeholders understand timelines and dependency risks.
- Enforces zero-code output by stripping all snippets, file paths, and function names in favor of tables and plain English.
How it works
- Source Discovery: Provide a directory or glob pattern of your internal technical docs, READMEs, or ADRs.
- Knowledge Extraction: The skill scans for systems, flows, constraints, and ownership signals.
- Context Synthesis: It cross-references existing PM docs to identify gaps and update outdated information.
- Document Generation: It produces specialized Platform Guides, Bug Anatomies, and Migration Landscapes.
Frameworks & tools
This skill works with any Markdown-based documentation, including ADRs, OpenAPI specs, system runbooks, and architecture references. It is platform-agnostic but excels with documentation stored in repositories.
Why this beats prompting it yourself
Generic AI summaries often lose the critical "why" behind technical decisions. This skill uses a translation framework that preserves warnings and failure modes while specifically mapping technical complexity to business impact and ownership.
Use cases
- Generating a "Platform Guide" for a new PM or designer joining a complex project.
- Creating a "Bug Anatomy" guide to help QA and support teams file more accurate tickets.
- Explaining a multi-phase infrastructure migration to non-technical stakeholders.
- Maintaining a code-free glossary of domain-specific terms for the broader organization.
Known limitations
This skill requires text-based source documentation as input. It cannot translate visual diagrams that lack accompanying text or live codebases without existing documentation.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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