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Pesty-MarketingPesty-Marketing/agent-skills/untangle/SKILL.md

untangle

Skill0 starsChanged 25 days agoMITView on GitHub

Untangle ambiguous problems with Why, How, or What trees. Use to clarify the question, expose blind spots, or separate causes, options, and work before deciding.

3 other projects use a version of this.

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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 a provisional tree early enough to give the user something concrete to react to.

    line 28
  2. Distinctive:

    Keep each branch answering its parent, with siblings at comparable levels of abstraction.

    line 38

“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

Untangle

Help the user see the consequential thing they are overlooking and leave with a better next decision. Build shared understanding through an adaptive conversation and a working tree.

Frame the question

Start with the user's context and supplied evidence. Identify the decision the work should support, the scope, and the uncertainty preventing progress. Test the premise before expanding it: is the problem established, is the comparison meaningful, and has a preferred solution slipped into the diagnosis? Offer a better framing with a brief reason when it materially changes the decision; keep the user's goal authoritative. Preserve stated goals and timelines while checking feasibility; an ambitious target is not itself a mistaken premise.

Choose the tree by the answer needed, not the first word in the request:

TreeRoot questionLeaves and useful result
WhyWhy is this happening?Candidate causes expressed as testable hypotheses; evidence and checks that distinguish them.
HowHow might we reach this goal within these constraints?Concrete interventions or approaches; ranked options with trade-offs and confidence.
WhatWhat work does this deliverable require?Analyses, decisions, commitments, artifacts, or processes; a sequenced workplan.

Briefly explain the chosen question in ordinary language. Resolve framing ambiguities with the user when different answers would change the work. When the request mixes jobs, start with the uncertainty that blocks the intended decision. Move between trees as needed, stating the new question and what supports the transition. How can explore options under uncertainty if their assumptions and validation needs stay visible; all three trees are not a mandatory sequence.

A straightforward, specified task deserves a direct answer. When explicitly invoked for one, use only the structure that helps and finish without manufacturing an interview.

Work the conversation

Use a provisional tree early enough to give the user something concrete to react to. Update it as evidence and answers change the framing; expand consequential branches and keep minor ones shallow.

Borrow the frontier from dependency-aware interviewing: ask only questions whose prerequisites are already settled. Group independent, high-impact questions into a manageable round; questions depending on an unanswered question wait for the next round. Explain the choice and recommend an answer when it is a judgment call. For unknown facts, recommend a way to check rather than a factual answer. Wait for answers to material user decisions while continuing independent evidence checks.

Look up discoverable facts in supplied sources and directly relevant available information. Read enough to resolve the decision at hand; identify larger investigations as next steps. Keep observations, the user's reports, assumptions, and hypotheses distinguishable. If a source is unavailable, identify the gap and build the best supported provisional result.

Challenge what could change the decision: alternative explanations, omitted stakeholders or constraints, misleading metrics, and plausible ways the preferred approach could fail. Tie each challenge to its consequence and a useful question or check. Balance the cost of missing something important against the cost of prolonging the interview. Honor corrections, existing answers, and requests for a quick pass; reopen a settled choice only when new evidence matters.

Build and check the tree

Keep each branch answering its parent, with siblings at comparable levels of abstraction. Use one organizing principle per sibling group, and keep cause, option, and work leaves in their respective trees.

  • Why: Make leaves specific enough to test. Attach available supporting or conflicting evidence and a check that would change confidence. Prioritize checks by their ability to separate plausible causes and the effort required. Measurement changes can explain reported outcomes without explaining real-world outcomes. Observed differences support hypotheses, not proof of causation; an inconclusive comparison leaves the cause unresolved rather than selecting a remaining cause by default.
  • How: Compare actions against the user's goal and constraints. Explain the basis of the ranking and the assumptions that could reverse it. Use qualitative comparisons when estimates are unsupported; show complementary actions as a possible sequence or bundle rather than mutually exclusive alternatives. Count only distinct elapsed time when estimating savings: overlapping delays reduce the combined opportunity, and partial removal does not earn the full estimate. With overlapping components, subtracting their sum from total elapsed time does not establish how much active work remains.
  • What: Identify required work and outputs, then sequence dependencies. Distinguish settled decisions and commitments from ones still needed. Use known owners or label proposed roles and unassigned work explicitly.

Review the draft for material gaps, overlap, mixed leaf types, and branches that fail to answer their parent. Repair specific defects and recheck the affected portion. Seek useful coverage, not a prescribed branch count or depth. Where causes interact or an item spans branches, explain the relationship and give it a primary home instead of implying independence. A structural check supports clarity; it cannot prove the tree true or exhaustive. Report meaningful residual uncertainty rather than inventing a missing or duplicate branch to satisfy a checklist.

Deliver and finish

Default to a readable text tree in chat plus a concise decision brief: the root question, consequential blind spots or framing changes, material evidence gaps, and the next test, choice, or workplan appropriate to the mode. Scale detail to the decision; a tree can be provisional and still useful. Save or export only when the user's request calls for it.

Finish when the root is clear enough, material branches have been examined, and the user has an actionable next step with uncertainty visible. Ask a remaining material user question if it prevents that result; otherwise deliver the brief without a blanket confirmation gate. Building a tree does not authorize executing its recommendations; preserve the user's existing scope and authorization when continuing related work.

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