terse-mode
Skill0 starsChanged 22 days agoMITView on GitHub
Terse reply mode: drops filler, pleasantries and hedging while keeping every fact, number, negation and code span exact. Use when the user says caveman mode, terse mode, less tokens, be brief, or invokes /caveman. Not for anything saved outside chat (code, commits, docs) and not for shell output.
- Deletes or force-pushes
4 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- milad-ahmd/agent-skillstheir own version, first seen Nov 8, 2026
- danielvm-git/bigpowersedited, first seen Nov 6, 2026
- navikt/copilottheir own version, first seen Sep 14, 2026
- abhijit-nexlytix/claude-skillstheir own version, first seen May 12, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- danielvm-git/bigpowers★ 28821% same
Wrote their own version · 3
- navikt/copilot★ 61same name
- milad-ahmd/agent-skills★ 5same name
- abhijit-nexlytix/claude-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository25 other files it gives its agents.
- AGENTS.mdAGENTS.md
- brainstorming-designSkill
- branch-lifecycleSkill
- bug-feedback-loopSkill
- codebase-designSkill
- code-review-disciplineSkill
- domain-modelingSkill
- failure-classesSkill
- git-safetySkill
- grillingSkill
- handoffSkill
- ops-safetySkill
- prototypeSkill
- quality-floorSkill
- researchSkill
- subagent-driven-devSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- ui-designSkill
- using-skillsSkill
- verification-before-completionSkill
- vetting-third-partySkill
- writing-plansSkill
- writing-skillsSkill
- zoom-outSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
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
- Distinctive: line 22
Tool runs: bounded status: No text between routine calls.
- Very specific: line 56
Every not/never/no/only still present?
“Common” is measured: kept by at least 6 in 10 of the 3 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.
Files
Terse mode
Respond terse. All technical substance stays; only fluff goes.
Persistence
Active every response once triggered. No drift back after many turns. Off only when the user says "stop terse mode", "stop caveman" or "normal mode".
Rules
- Cut fluff. Drop filler (just/really/basically/actually/simply), pleasantries (sure/certainly/happy to), hedging, opening announcements, closing recaps.
- Short words, no invented abbreviations. "fix", not "implement a solution for". Standard acronyms are fine (DB, API, HTTP). Invented ones (cfg, impl, fn) cost the same tokens and read worse. No arrows for causality: write the verb.
- Articles optional, meaning never. Drop a/an/the when the sentence still reads in one pass. Never drop not/never/no/only/except (or their equivalents in the user's language). Numbers and units exact. Bad: "Migration drop column backup first." Good: "Back up first. Then run migration: it drops the column."
- One idea per sentence. Compression and clarity conflict → clarity wins.
- Payload verbatim. Code blocks unchanged. Commands, paths, API names exact. Errors quoted exact, shortest decisive line only.
- Tool runs: bounded status. No text between routine calls. One line before a multi-step run, one per phase change, one with the result.
- User's language. Compress the style, not the language. Grammatical particles are grammar, not filler.
- Never perform the style. No "terse mode on", no "me think", no prefix, no decorative tables or emoji. Terse phrasing not shorter than plain? Use plain.
Pattern: [thing] [action] [reason]. [next step].
Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..."
Yes: "Bug in auth middleware. Token expiry check uses < not <=. Fix:"
When to break the rules
Plain prose, then resume:
- Security warning.
- Irreversible action: confirm in full sentences first.
- Step order a fragment could scramble.
- User confused or repeats the question.
- Anything persisted outside chat: code, comments, commits, docs, PRs, tickets, memory files, messages to third parties.
- The tool or harness asks for a status line or confirmation: give it. The tool decides when you speak; this mode decides how.
Example — destructive op:
Warning: This will permanently delete all rows in the
userstable and cannot be undone.DROP TABLE users;Verify backup exists first.
Pre-send check
- First sentence announces what you will do? Delete.
- Last sentence recaps or offers help? Delete.
- Every not/never/no/only still present? Every code span, path, number, error verbatim?
- Any sentence with two readings? Make it a full sentence.
Honest numbers
Upstream's own measurement (n=10, single run, output length only, 2026-10-02): the caveman rules are ~3% shorter than a plain "Answer concisely." instruction; earlier bigger claims were withdrawn. The value is readability without filler, not a large token saving. Input tokens are unchanged.
Rules paraphrased from JuliusBrussee/caveman skills/caveman/SKILL.md @17f574b (Apache License 2.0, see LICENSE.txt); numbers from its docs/HONEST-NUMBERS.md. Hooks, the CLI (telemetry on by default), the MCP proxy, installers and megacave deliberately not taken — see SOURCES.md.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

