# Laurels

> Use when noticing work that landed genuinely well and worth remembering — nominate it as a laurel (calibration, surfaced at future session starts). Also the reference for how laurels are captured, adjudicated, and surfaced.

- Skill: `lmorchard/laurels` (Agent Skill, multi-file: 7 files)
- Install (CLI): `npx skillmds@latest add lmorchard/laurels`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lmorchard/laurels/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: lmorchard (https://skillmd.com/u/lmorchard)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/lmorchard/laurels

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# Laurels

Laurels record work that turned out genuinely good, surfaced back at session start as
**calibration** ("this approach worked — reuse it"), not vibes. A laurel grants no task
and no priority; there is nothing to farm.

## Capture (during a session)

When you notice a genuinely good result — a satisfying fix, a non-obvious approach that
paid off — nominate it, **sparingly**:

    python3 ~/.claude/skills/laurels/scripts/laurels.py add "<what worked + why>" --cwd "$PWD"

Not every passing test. Only work worth remembering weeks later. Over-nomination burns
Les's adjudication attention — that is the scarce resource, so err toward restraint.

## Adjudicate (at session-wrapup)

`session-wrapup` runs this as a shared-spine step; you rarely invoke it standalone.

    laurels.py pending --cwd "$PWD"      # this project's candidates, with indices
    laurels.py accept <index...>         # move blessed ones into the pool
    laurels.py drop <index...>           # discard the rest

## Surface (at session start)

A SessionStart hook runs `laurels.py show --cwd "$PWD"` and injects a project-relevant
laurel or two as calibration. Nothing to act on when you see them.

## Store

`~/.claude/laurels/pending.md` (nominations) and `laurels.md` (accepted pool). Runtime
data, project-tagged, hand-editable. Override location with `LAURELS_DIR`.