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cdeustcdeust/zetetic-team-subagents/skills/estimation/SKILL.md

estimation

Skill8 starsChanged 57 days agoMITView on GitHub

Bound it before you build it. Use when a decision is blocked by "we don't have data", an estimate looks suspiciously precise, someone asks "is this even feasible?", "how much capacity do we need?", "will this scale?", or a claimed number has never been cross-checked by a second method.

6 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If no shape above matches, use a built-in agent with the closest GENIUS: pattern from rules/agent-routes.json instead.

    line 40

“Common” is measured: kept by at least 6 in 10 of the 5 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

Estimation

Problem shape: a quantity is needed for a decision, but there is no measurement — or there is a single number with false precision and no bracket. The move is order-of-magnitude decomposition, two-sided bounds, and limits derived before methods are chosen.

Relevant geniuses

AgentUse when
fermidecision blocked by missing data; single number with no bracket; feasibility check before committing resources; sanity-check a claimed figure
erlangcapacity planning, queue sizing, arrival-vs-service balance, latency exploding near saturation (Little's law audits)
thompson"will this design survive 10x scale?" — surface-to-volume and allometric scale-break analysis
laplacepriors need eliciting; estimates need updating as evidence arrives; forecaster calibration is unknown
carnotefficiency claims with no derived theoretical limit; "where is the irreversible loss?"
erdosexistence/threshold questions on large combinatorial spaces — probabilistic method instead of enumeration

Invocation

  1. Pick the best-fit agent above. If two or more fit, run tools/genius-invoker.sh route "<problem>" and take the top ranked match.
  2. Load it: tools/genius-invoker.sh invoke <agent> "<problem>", then read agents/genius/<agent>.md in full.
  3. Apply the agent's <workflow> step by step and answer in its <output-format>. Every estimate ships as a two-sided bracket with the dominant uncertainty named — never a bare point value.
  4. Cross-check: two independent decompositions must agree within ×10 before the estimate is used for a decision (fermi's sanity-check shape).
  5. If no shape above matches, use a built-in agent with the closest GENIUS: pattern from rules/agent-routes.json instead.

Refuse when

  • The requester wants a precise number a bracket cannot honestly provide — say what measurement would be needed instead.
  • The estimate would be quoted without its bounds.

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