agentleFS
Nomanriaz786Nomanriaz786/claude-consulting-team/skills/issue-tree/SKILL.md

issue-tree

Skill1 starsChanged 22 days agoMITView on GitHub

Structures an ambiguous business problem into a MECE issue tree when the team needs a rigorous path to an answer.

3 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use before research or analysis when the central question is unclear, too broad or disputed.

    line 9
  2. Distinctive:

    Every branch directly helps answer the central question

    line 29

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Issue Tree

When to use it

Use before research or analysis when the central question is unclear, too broad or disputed.

What Claude needs

  • The decision or problem statement
  • Relevant background from client-context.md
  • Known constraints, definitions and time horizon
  • Existing evidence or stakeholder views

Method

  1. Rewrite the problem as one decision-focused question with a clear boundary.
  2. Choose a logic type: diagnostic, solution, profitability or process.
  3. Build two to four mutually exclusive, collectively exhaustive first-level branches.
  4. Decompose each branch into testable sub-questions without mixing causes and solutions.
  5. Mark dependencies, missing evidence and branches with the greatest decision impact.
  6. Stress-test the tree for overlap, omissions and answerability.

Output format

Provide the problem statement, an indented issue tree, a branch rationale table and the next analyses in priority order.

Quality checks

  • Every branch directly helps answer the central question
  • Sibling branches do not overlap materially
  • Leaf questions can be answered with identifiable evidence

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Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.