Agent skill

Backlog Generator

by murphytrueman in murphytrueman/design-system-ops

Turn existing audit findings into sprint-ready tickets with T-shirt estimates, acceptance criteria, dependencies and phases.

MITAuto-check passedProduct & Project Management

Install Backlog Generator

skills CLI
$ npx skills add murphytrueman/design-system-ops --skill backlog-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install murphytrueman/design-system-ops backlog-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/murphytrueman/design-system-ops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/backlog-generator .claude/skills/backlog-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
backlog-generator
GitHub stars
201
Token cost
~2.9k tokens
SKILL.md length
1,738 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

Turn existing audit findings into sprint-ready tickets with T-shirt estimates, acceptance criteria, dependencies and phases.

  • Works in 6 steps: Accept and Parse Input → Classify Work Item Type → Generate Structured Work Item → …
  • Tasks that involve Sprint planning and agile
  • SKILL.md covers Before you begin: verify…, Context, Boundaries and Steps, plus 2 more sections
  • Calls npx

What it does

Backlog Generator is an agent skill from murphytrueman/design-system-ops. Turn existing audit findings into sprint-ready tickets with T-shirt estimates, acceptance criteria, dependencies and phases. Triggers: tickets from audit, backlog from findings, sprint planning from report. Not for the contribution process (contribution-workflow).

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering Sprint planning and agile, Audit readiness and User stories. The repository describes itself as: Claude Code skills for the work that keeps a design system alive. The licence is MIT.

When your agent uses it

  • Tasks that involve Sprint planning and agile
  • Tasks that involve Audit readiness
  • Tasks that involve User stories

Example prompts

  • “/backlog-generator”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Read, Write, Grep, Glob, Bash(cat:*), Bash(ls:*)

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Accept and Parse Input
  2. Classify Work Item Type
  3. Generate Structured Work Item
  4. Group into Phases
  5. Build Dependency Map
  6. Produce Markdown Output

What it can do on your machine

Read from SKILL.md and the folder at commit f167898. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Grep
    • Glob
    • Bash(cat:*)
    • Bash(ls:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Backlog Generator loads about 2.9k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 1,738 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from murphytrueman/design-system-ops at commit f167898, republished under its MIT licence (© murphytrueman). 1,738 words, ~2,946 tokens.

Download SKILL.mdSave it as .claude/skills/backlog-generator/SKILL.md (or your agent's skills folder).
name
backlog-generator
description
Turn existing audit findings into sprint-ready tickets with T-shirt estimates, acceptance criteria, dependencies and phases. Triggers: tickets from audit, backlog from findings, sprint planning from report. Not for the contribution process (contribution-workflow).
allowed-tools
Read, Write, Grep, Glob, Bash(cat:*), Bash(ls:*)
references
../../knowledge-notes/component-governance.md, ../../knowledge-notes/output-discipline.md

Backlog Generator

Before you begin: verify references

Confirm that every path in this skill's frontmatter references: exists relative to this SKILL.md. If any is missing, stop: the install is incomplete, usually because a flattening installer (for example npx skills install) dropped the repo-root knowledge-notes/ directory. Tell the user to reinstall by a method in 1-INSTALL.md and run verify-install.sh from the install root. Proceed without the references only if the user explicitly says to, and then say in the output that it was produced without the pack's reference material.

Context

The gap between "here are the problems" and "here is the plan for the next eight weeks" is where most audit value dies. Findings get filed, not acted on. Teams read the audit, nod, then move on because the step from "TA-07: Button component tokens not aliased correctly" to "what do we build next sprint?" is too large.

This skill bridges that gap by transforming audit output into structured work items that engineers and product managers can prioritise, estimate, and execute without needing to re-read the audit or negotiate what "fix the tokens" means. The output is sprints, not a wall of problems.

Boundaries

This skill transforms existing audit findings into work items. It does not run audits itself — if no audit output exists, run the relevant audit skill first. If the audit produced zero findings, there is no backlog to generate; confirm this with the user and stop. If the findings lack severity ratings or remediation guidance, flag the gap and produce work items with what is available, but note the missing context.


Steps

1. Accept and Parse Input

Accept input in any form: copy-paste audit report, file path, reference to prior audit skill output, or natural language description of findings.

Parse findings and extract:

  • Finding ID (e.g., TA-01, COL-03)
  • Severity: Critical, High, Medium, Low
  • Category: Token structure, component API, documentation, tooling, process
  • Current state: the problem as written in the audit
  • Remediation: what the audit says should happen

Do not assume findings are complete. If a finding is vague ("tokens are broken"), ask clarifying questions before proceeding.

Also ask for team size and sprint length (and, if they have one, the capacity they can give system work per sprint). Phases in step 4 are sized against these; without them, group by dependency and priority only and say the phases aren't capacity-checked.

Ask how the team sizes work. If they use story points, or their own T-shirt definitions, use theirs and say so; the scale in step 3 is the default for teams that don't have one. A backlog in a foreign sizing scale gets re-estimated in the planning meeting, which wastes the estimate.

2. Classify Work Item Type

For each finding, assign one of these work item types:

  • Bug fix: Something is broken and prevents correct usage (e.g., token alias creates circular reference, component prop ignored in doc site)
  • Tech debt: Working-as-designed but the design itself is unsustainable (e.g., token hierarchy is flat, component prop not typed)
  • Enhancement: New capability that enables better practice (e.g., new token tier, new component variant)
  • Migration: Moving from one system to another (e.g., migrating component token refs from old to new tier)
  • Documentation: Clarifying existing behaviour or adding examples

Document your reasoning for each classification. Different teams prioritise differently — tech debt might be lower priority than bugs, and that's a decision, not a mistake.

3. Generate Structured Work Item

For each finding, produce a work item with all of these fields:

Title: Action-oriented, engineer-readable. Prefer "Route component tokens through semantic tier" over "Fix TA-01" or "Token aliasing issue". The title should be understandable without the audit context.

Type: Bug fix, tech debt, enhancement, migration, or documentation (from step 2).

Effort estimate: in the team's own scale (step 1), or this default T-shirt scale with sizing rationale:

  • S: under half a day (single-file change, tests included, no API review needed)
  • M: half a day to two days (multi-file work, API implications, needs review)
  • L: three days to a week (multi-component impact, a migration step, cross-team coordination)
  • XL: more than a week (system-wide change, a major migration, new tooling); split it, or mark it for a scoping spike

Design system work is rarely three days when it crosses components or consumers, so the upper sizes run longer than a generic app scale.

Include 2–3 sentences of sizing rationale (e.g., "M because the Button component changes are isolated to one file, but we need to update three variants and test accessibility scenarios"). Do not estimate from severity — a critical bug might be 30 minutes (S) if it's a one-line fix.

Acceptance criteria: 2–4 testable statements. Each should be verifiable by a reviewer without ambiguity.

  • Good: "No component token directly references a primitive token (checked via regex in token definitions)"
  • Bad: "Fix tier leakage" or "Make tokens work better"

Evidence: the finding id and the audit's evidence for it (the file and line, token path or component it names), copied from the audit so the ticket stands without the report.

Rationale: 1–2 sentences explaining why this work matters to the system and team, not just a technical description. Address: What breaks or becomes harder if this is deferred? Who does this unblock? Cite roadmap or business impact only when the audit or the user states it; otherwise describe the technical consequence. Example: "Prevents new components from accidentally breaking the token hierarchy, so every new component token has to be re-checked by hand until this lands."

Dependencies: List other work item IDs or titles that must complete first. Be strict — only list blocking dependencies, not nice-to-haves. If a task has no dependencies, write "None".

Priority: Inherit from audit severity (Critical → P0, High → P1, Medium → P2, Low → P3), but adjust upward if the item unblocks multiple other items, or downward if high-effort with low impact.

4. Group into Phases

Sort work items into phases based on dependencies and effort:

  • Immediate (Sprint 1): Critical items and P1 work that has no dependencies or depends only on other Sprint 1 items. Fill to one sprint of the team's stated capacity.
  • Near-term (Sprint 2–3): P1–P2 items that depend on Immediate work, or independent P2 items. Fill to two sprints of stated capacity.

If the user hasn't given team size and sprint length, don't fill phases to a guessed capacity; group by priority and dependency and mark the phases "not capacity-checked".

  • Backlog (future): P3 items, nice-to-have enhancements, documentation that can wait.

Do not create a phase assignment that violates dependency order (e.g., assigning a Sprint 1 item that depends on a Sprint 2 item). Review the dependency DAG before finalising phase groups.

Show full SKILL.md (639 more words)Show less
5. Build Dependency Map

Create a visual or textual dependency map showing which items block which other items. Format: simple text DAG or a markdown table with columns for Item, Depends On, Unblocks.

Flag any circular dependencies immediately — they indicate a misunderstanding of the problem or a need to re-scope work items. Example: If Item A depends on Item B and Item B depends on Item A, stop and clarify the actual order with the team.

6. Produce Markdown Output

Generate a markdown document with:

Headline: One or two sentences opening the document: what the backlog amounts to and what to start first (e.g. "Two critical token fixes unblock most of this backlog; start there").

Summary section:

  • Total findings analysed
  • Work item count by type (bugs, tech debt, enhancements, migrations, docs)
  • Work item count by phase (Immediate, Near-term, Backlog)
  • Effort: count of items per T-shirt size, plus the range those sizes imply (e.g. "[n] S, [n] M, [n] L: roughly [low]–[high] days"). Translate to weeks or sprints only against capacity the user supplied, and label it as an estimate
  • Dependency warnings, if any

Summary table: All work items in a single table with columns: ID, Title, Type, Effort, Priority, Phase, Dependencies. Keep descriptions short; readers will dive into detailed cards for context.

Detailed cards: One card per work item with all fields from step 3 (title, type, estimate with rationale, acceptance criteria, rationale, dependencies, priority).

Dependency section: Text or ASCII representation of the dependency DAG. Highlight any chain longer than 3 items (suggests the phase grouping may be too aggressive).

Tracker export (on request only): When the user wants the backlog in Jira, Linear, GitHub Issues or Asana, write a CSV next to the markdown with one row per item and the columns title, type, effort, priority, phase, dependencies, acceptance_criteria, rationale, evidence, source_finding (criteria and dependencies joined with ; ), which every tracker's importer accepts, and say which columns map to which fields in their tool (Effort → story points or a custom field; Priority → the tool's priority; Phase → sprint or a label). A JSON array of the same objects on request. No API calls.

End with Based on: [audit report, date] and a Scope block: which findings were converted, which were left out and why (no remediation, duplicates of another item), and whether the phases were capacity-checked.

Quality Checks

  1. Every work item title is action-oriented and engineer-readable. A developer should understand what to build without re-reading the audit. Titles like "Flatten token hierarchy" or "Add size variant to Button" pass; "Fix token issue" does not.

  2. Acceptance criteria are testable. Each criterion should be verifiable by code review, test output, or inspection without debate. "Button component uses semantic tokens" is vague; "Button component has zero direct references to primitive tokens" is testable.

  3. Effort estimates include sizing rationale, not just a letter. Why is this S and not M? Why is that L and not XL? Document the reasoning (scope, risk, coordination overhead, etc.).

  4. Rationale explains business impact, not just technical description. Do not repeat the audit finding. Explain why engineers should care, what risk the team avoids, what capability it unblocks.

  5. Dependencies form a valid order. No circular references, directly or transitively; walk the chains before finalising.

  6. Every card carries the finding's evidence and the backlog ends with Based on: and a Scope block.

  7. Phase grouping respects dependency order. No Sprint 1 item can depend on a Sprint 2 item. No Sprint 2 item can depend on a Backlog item (unless you're willing to schedule Backlog work early). Review the dependency map against phase assignments before finalising.

Small-System Note

For audit reports with fewer than 10 findings, produce a single prioritised list (Immediate, Near-term, Backlog) rather than phased sprints. The structure is the same; the grouping is simpler. Dependencies still matter even for small systems.

© murphytrueman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/backlog-generator of murphytrueman/design-system-ops.

Open the folder on GitHubat commit f167898

Compare with similar skills

Backlog Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Backlog Generator compared with similar skills
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Backlog Generator this skillmurphytrueman/design-system-ops201—~2.9kAutomated safety check: PassMIT
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Walking Skeleton Roadmap Scopingprime-radiant-inc/iterative-development181—~1.7kAutomated safety check: PassApache-2.0
Epic Breakdown Advisordeanpeters/Product-Manager-Skills7.2k1 repos~6kAutomated safety check: PassCustom licence
Bmad Sprint Planningdelorenj/mcp-server-trello4465 repos~3kAutomated safety check: PassMIT
Agile Product Ownerdavila7/claude-code-templates32k2 repos~256Automated safety check: PassMIT

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Questions about Backlog Generator

What does Backlog Generator do?

Turn existing audit findings into sprint-ready tickets with T-shirt estimates, acceptance criteria, dependencies and phases. Backlog Generator is an agent skill from murphytrueman/design-system-ops. Turn existing audit findings into sprint-ready tickets with T-shirt estimates, acceptance criteria, dependencies and phases.

When should I use Backlog Generator?

Backlog Generator fits situations like: tasks that involve Sprint planning and agile; tasks that involve Audit readiness; tasks that involve User stories.

How do I install Backlog Generator in Claude Code?

Run `npx skills add murphytrueman/design-system-ops --skill backlog-generator -a claude-code`. Or copy the skill folder (skills/backlog-generator in murphytrueman/design-system-ops) into .claude/skills/backlog-generator in your project. Claude Code loads it when a task matches its description.

How do I install Backlog Generator in Codex?

Run `npx skills add murphytrueman/design-system-ops --skill backlog-generator -a codex`. Or copy the skill folder (skills/backlog-generator in murphytrueman/design-system-ops) into .agents/skills/backlog-generator in your project. Codex loads it when a task matches its description.

Can I use Backlog Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add murphytrueman/design-system-ops --skill backlog-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/backlog-generator, .gemini/skills/backlog-generator, .github/skills/backlog-generator and .opencode/skills/backlog-generator in your project.

What does Backlog Generator need to run?

Going by SKILL.md and its folder, Backlog Generator needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Write, Grep, Glob, Bash(cat:*), Bash(ls:*).

Does Backlog Generator access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Backlog Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Backlog Generator use?

Backlog Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Backlog Generator use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Backlog Generator?

Skills that share tags, products or a category with Backlog Generator: Agile Product Owner (alirezarezvani/claude-skills, 28k stars), Walking Skeleton Roadmap Scoping (prime-radiant-inc/iterative-development, 181 stars), Epic Breakdown Advisor (deanpeters/Product-Manager-Skills, 7.2k stars) and Bmad Sprint Planning (delorenj/mcp-server-trello, 446 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Backlog Generator?

murphytrueman (a GitHub user) maintains it in murphytrueman/design-system-ops, which has 201 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 24, 2026.

Source: murphytrueman/design-system-ops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.