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feat(writing-for-agents): add the cache leading word for environment truth

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Single source of truth now reaches past the document into the environment.
package.json scripts, config files, directory layout and --help output are
authoritative already, so a doc restating them is a cache of a lookup that
earns its load only when the lookup is expensive.

Co-authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Matt Pocock
2026-07-28 12:16:51 +01:00
co-authored by Claude Opus 5
parent 6e742d6441
commit d4e8664be2
3 changed files with 7 additions and 1 deletions
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skills/productivity/writing-for-agents/SKILL.md
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@@ -76,5 +76,6 @@ You win twice: fewer tokens, and a sharper hook for the agent to hang its thinki
## Pruning
- Keep each meaning in a **single source of truth**: one authoritative place, so changing the behaviour is a one-place edit. **Duplication** — the same meaning in more than one place — costs maintenance and tokens, and inflates a meaning's prominence on the ladder past its real rank. (The accidental inverse of a leading word, which repeats a token on purpose, never the meaning.)
- The **environment** is a source of truth too — `package.json` scripts, config files, the directory layout, `--help` output — and a document that restates it is a **cache**: a copy of a lookup, earning its load only when the lookup is expensive. Cache what the agent cannot find by looking: the unwritten convention, the reason behind a choice, the gotcha no config confesses. Leave the one-file, one-command lookups to the environment, where they cannot go stale.
- Check every line for **relevance**: does it still bear on what the document does? A line loses relevance by never bearing on the task (mere exposition, or a branch that should be disclosed) or by going stale as the behaviour or world it describes changes. Shorter documents are easier to keep relevant. Without a pruning discipline the default fate is **sediment**: stale layers that settle because adding feels safe and removing feels risky, until you must core down through them to find what is still live.
- Hunt **no-ops** sentence by sentence: an instruction the model already obeys by default pays load to say nothing. The test — does it change behaviour versus the default? — is model-relative, not reader-relative: two people disagreeing about a no-op disagree about the default, and settle it by running the document, not by debate. When a sentence fails, delete the whole sentence rather than trim words from it. The test also grades leading words: a word too weak to beat the default (_be thorough_ when the agent is already thorough-ish) is a no-op, and the fix is a stronger word (_relentless_), not a different technique.