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RichardDowRichardDow/skills/estimate/SKILL.md

estimate

Skill1 starsChanged 50 days agoLicence not identifiedView on GitHub

Produce an Original Estimate for a piece of work on the assumption that agents write the code and humans only review it. Splits the forecast into agent execution, human review, and a rework buffer, and generates the manual test conditions the human half is derived from (the plan's test-conditions list also carries automated conditions, authored elsewhere — this skill owns only the manual ones). Use when the user says "/estimate", "estimate this", "estimate them", "how long will this take", "size these tickets", or when a planning or ticket-filing step needs an `estimate:` value. Owns the 0.5h granularity and 1d ceiling rules that those steps defer to. Also runs `/estimate calibrate`, which compares shipped tickets' logged actuals against their forecasts and reports which band drifted — use when the user says "calibrate the estimates", "are my estimates accurate", "how are the estimates tracking", or wants to move the agent/review/buffer bands on evidence.

30 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use team-audio, playtest-report and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • CoralGameSkill

    team-audio

    Orchestrate audio team: audio-director + sound-designer + technical-artist + gameplay-programmer for full audio pipeline from direction to implementation.

    Also in 13 projects that use this

  • CoralGameSkill

    playtest-report

    Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.

    Also in 12 projects that use this

  • lilangMaxSkill

    asset-spec

    Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.

    Also in 10 projects that use this

  • lilangMaxSkill

    create-control-manifest

    After architecture is complete, produces a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Extracted from all Accepted ADRs, technical preferences, and engine reference docs. More immediately actionable than ADRs (which explain why).

    Also in 10 projects that use this

  • +3 more from CoralGame
  • +5 more from lilangMax

The file

We split this skill into the rules it gives an agent

8 rules. 0 are common, 7 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 27 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 27 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.

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

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