agentleFS
glebisglebis/claude-skills/decision-to-delivery/SKILL.md

decision-to-delivery

Skill410 starsChanged 5 months agoMITView on GitHub

Turn intertwined research, career or business decisions and tool-building into a bounded delivery flow. Use when useful artifacts keep expanding while the intended decision or deliverable remains unresolved.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    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:

    Read the actual brief and current artifact before proposing more work.

    line 12
  2. Distinctive:

    Use a short round of high-value questions to establish the immediate objective, desired outcome, constraints, deadline, time budget and …

    line 19
  3. Distinctive:

    Use editable assumptions where information is unavailable and the brief permits assumptions.

    line 46
  4. Distinctive:

    Verify the artifact as its intended user will experience it: rendered behavior, the core journey, calculations, evidence links and labels.

    line 52
  5. Distinctive:

    Stop when the agreed required outputs exist and work, evidence/assumptions are legible, and remaining unknowns have a route and owner.

    line 56

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Decision to delivery

Make the next useful outcome explicit, route uncertainty to the action that can resolve it, and complete the smallest artifact that serves that outcome. Treat an apparent workflow problem as a hypothesis, not a diagnosis of the user.

Establish the working agreement

Read the actual brief and current artifact before proposing more work. Inspect relevant prior dialogue as context, never as fresh authorization. Identify separately:

  • the user's decision (for example, whether a role fits);
  • the required deliverable (for example, a case response);
  • external validation (for example, willingness to pay);
  • optional reusable tooling.

Use a short round of high-value questions to establish the immediate objective, desired outcome, constraints, deadline, time budget and outstanding commitments. Check dated communications where authorized: a self-imposed deadline and a promise already made may differ. Surface that difference without silently changing either.

Propose a concrete flow with inputs, outputs, owners, time limits, stopping and reopening criteria. If the user requires flow approval, obtain explicit approval before creating a skill or applying the flow. Preserve that boundary across interruptions. Don't add an approval gate when the current request already authorizes the work.

Map and route

Map each required output to existing material, its missing consequential decision and the smallest next action. Keep case requirements distinct from attractive demonstrations or optional infrastructure. Avoid maintaining a second competing version of the argument.

For each consequential unknown, choose the route that can answer it:

RouteWhat belongs hereUseful next action
EvidenceFacts discoverable from existing sourcesInspect the source; record date, scope and limitation
ExperimentDemand, adoption, performance or predictive valuePropose a bounded test and observable success/stop criterion
CommitmentCapacity, authority, ownership, budget, incentivesIdentify the person who can commit; record what is actually agreed
PreferenceDesired work, risk tolerance, presentation emphasisAsk the user only where the answer changes the next action

Research cannot establish a person's commitment. A working demo cannot establish customer demand. A sourced observation is not proof of commercial fit. Keep these distinctions in the deliverable itself.

Record only material decisions: question, current position, source/assumption, next action, owner, stop condition and reopen condition. Keep unresolved commitments visible without generating an exhaustive new queue.

Deliver within the agreement

Prioritize complete coverage and one reliable user journey before deep polish. Reuse the existing application/data when useful; inspect and back up touched files, preserve concurrent work and review decisions, and treat synced references as read-only. Prefer an additive presentation view when it avoids changing an active research system.

Review evidence in order of its ability to change the decision or support what will be shown. Don't clear a large backlog or expand a batch merely to make a presentation appear complete. Label target candidates, hypotheses, estimates, precomputed AI output and simulated workflows accurately. Never substitute fictional records for promised real examples.

Use editable assumptions where information is unavailable and the brief permits assumptions. Show their effect and provenance. Propose future tests rather than claiming external validation. When the user rules out new input, preserve gaps instead of inventing answers or contacting people.

Bound tooling by the next learning or delivery step. Ask what outcome would justify expansion; if none would change the next action, park the enhancement. If time tightens, cut optional interactions and polish before required coverage, usable sales material, provenance or reliable navigation.

Close and reopen

Verify the artifact as its intended user will experience it: rendered behavior, the core journey, calculations, evidence links and labels. Distinguish technical completion, external validation and the user's review.

Handover: deliverable, changes, verification, material limitations, decisions made, unresolved commitments with owners, and the next action. Notify through the user's preferred review channel when available.

Stop when the agreed required outputs exist and work, evidence/assumptions are legible, and remaining unknowns have a route and owner. Reopen only for contradictory evidence, a material constraint change, a failed journey or explicit feedback. New cosmetic ideas need not reopen a completed scope.

Sending, publishing, deployment and other consequential external actions require their own appropriate authorization; approval of this operating flow does not confer it.

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