Agent skill

Conducty Terse

by robertbarclayy in robertbarclayy/conducty

Caveman-style compression for conducty orchestration artifacts — subagent prompt text, plan note prompt blocks, prompt log entries, checkpoint notes.

MITAuto-check passedAgent Workflows

Install Conducty Terse

skills CLI
$ npx skills add robertbarclayy/conducty --skill conducty-terse -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install robertbarclayy/conducty conducty-terse --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/robertbarclayy/conducty.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/conducty-terse .claude/skills/conducty-terse && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
conducty-terse
GitHub stars
176
Token cost
~1.6k tokens
SKILL.md length
765 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Caveman-style compression for conducty orchestration artifacts — subagent prompt text, plan note prompt blocks, prompt log entries, checkpoint notes.

  • User says conducty-terse
  • SKILL.md covers Scope — what gets compressed, Compression rules, Examples and Auto-clarity (override terse), plus 3 more sections
  • Calls pnpm
  • Compress prompts

What it does

Conducty Terse is an agent skill from robertbarclayy/conducty. Caveman-style compression for conducty orchestration artifacts — subagent prompt text, plan note prompt blocks, prompt log entries, checkpoint notes. Cuts token waste in the orchestration layer where "prompt quality is leverage" already demands tight signal-to-noise. Use when user says "conducty-terse", "terse mode", "compress prompts", "tight prompts", or invokes /conducty-terse. Does NOT change subagent output, code, commits, acceptance criteria, no-go zones, or verification commands — those stay verbatim.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents and User stories. The repository describes itself as: Stop context-switching. Start batch-planning. Conducty replaces the fragmented cycle of plan → prompt → wait → get distracted → review → fix → repeat with advanced batch planning. The licence is MIT.

When your agent uses it

  • User says conducty-terse
  • Compress prompts
  • Invokes /conducty-terse

Example prompts

  • “prompt quality is leverage”
  • “conducty-terse”
  • “terse mode”
  • “/conducty-terse”

What it can do on your machine

Read from SKILL.md and the folder at commit 64aefd5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pnpm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Conducty Terse loads about 1.6k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 765 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from robertbarclayy/conducty at commit 64aefd5, republished under its MIT licence (© robertbarclayy). 765 words, ~1,646 tokens.

Download SKILL.mdSave it as .claude/skills/conducty-terse/SKILL.md (or your agent's skills folder).
name
conducty-terse
description
Caveman-style compression for conducty orchestration artifacts — subagent prompt text, plan note prompt blocks, prompt log entries, checkpoint notes. Cuts token waste in the orchestration layer where "prompt quality is leverage" already demands tight signal-to-noise. Use when user says "conducty-terse", "terse mode", "compress prompts", "tight prompts", or invokes /conducty-terse. Does NOT change subagent output, code, commits, acceptance criteria, no-go zones, or verification commands — those stay verbatim.
aliases
conducty-terse, terse
tags
conducty/skill, conducty/discipline

Conducty Terse — Compression for Orchestration Artifacts

Caveman energy applied to conducty surface area. Prompts dispatched to subagents, prompt blocks in plan notes, entries in [[Prompt Log]], checkpoint notes — these are the artifacts where extra words cost twice: they bloat your orchestrator window AND every dispatched subagent's window.

This skill is the mechanical follow-through to the Conducty principle that prompt quality is leverage. Smaller prompts mean larger usable subagent context windows, which means more room for actual code, file reads, and verification output.

Scope — what gets compressed

ArtifactApply terse?Reason
Subagent prompt text (Task tool input)YesEvery word costs once in your context, again in the subagent's
Plan note prompt blocksYesRe-read on every dispatch; bloat compounds
[[Prompt Log]] entriesYesAppend-only; the file grows forever
Checkpoint notesYesRead by [[conducty-improve]] later
Orchestrator status updates to userYesMatch the user's caveman mode if active
Subagent reasoning / outputNoSubagents write in their own register
Acceptance criteriaNoPrecision > brevity
No-go zonesNoAmbiguity = scope creep
Verification commandsNoExact strings, never paraphrase
Error messages quotedNoVerbatim or useless
Code, commits, PRsNoSame boundary as caveman
Security warnings, destructive op confirmationsNoAuto-clarity rule

Compression rules

Drop: articles (a/an/the), filler (just/really/simply/basically/actually), pleasantries (sure/certainly/please/happy to), hedging (might/perhaps/it seems), narrative throat-clearing ("In order to...", "It is important to note that...", "The reason we're doing this is..."), redundant restatement of plan context the subagent already has.

Keep exact: technical terms, file paths, error strings, command invocations, model names (haiku/sonnet/opus), type signatures, link targets ([[wikilink]]), acceptance criteria text, no-go zone text, verification command strings.

Style: Fragments OK. Short synonyms (big not extensive, fix not implement a solution for). Bullets over paragraphs when both work. Pattern: [artifact] [action] [reason]. [next step].

Examples

Subagent prompt — bloated

Hello! For this task, I'd like you to please go ahead and refactor the user authentication middleware located in src/middleware/auth.ts so that it uses the new verifyToken function from src/lib/jwt.ts instead of the legacy decodeToken function. The reason we're doing this refactor is that the legacy function does not handle expired tokens correctly, which has been causing issues in production for the past few weeks. Please make sure that all existing tests continue to pass after your changes.

Subagent prompt — terse

Refactor src/middleware/auth.ts to use verifyToken from src/lib/jwt.ts. Replace all decodeToken calls.

Reason: legacy decodeToken mishandles expired tokens (prod incident).

Acceptance criteria: [verbatim from plan, do not paraphrase]

No-go zones: [verbatim from plan, do not paraphrase]

Verify: pnpm test src/middleware/auth.test.ts

Time budget: 20m. Model: sonnet.

Prompt Log entry — bloated

2026-04-27 14:32 — Prompt P3 from Plan 2026-04-27 1400 [Auth Refactor] completed successfully on the first attempt. Verification ran clean and the spec reviewer found no compliance issues. The implementation took roughly 18 minutes, which was within the 20-minute time budget.

Show full SKILL.md (301 more words)Show less
Prompt Log entry — terse

2026-04-27 14:32 · P3 [[Plan 2026-04-27 1400 Auth Refactor]] · DONE · 1st attempt · spec-review clean · 18m / 20m budget

Checkpoint note — bloated

Group A finished. All four prompts completed without issues. The first-attempt pass rate was 100%, with no retries needed and no prompts blocked. Overall the group went smoothly and we're ready to proceed to Group B.

Checkpoint note — terse

Group A · 4/4 done · 1st-attempt 100% · 0 retries · 0 blocked · proceed Group B

Auto-clarity (override terse)

Always write normal prose when:

  • Acceptance criteria — copy verbatim from plan, never compress
  • No-go zones — copy verbatim from plan, never compress
  • Security warnings or destructive operation confirmations
  • Multi-step protocols where fragment order risks misread (e.g. compact-resume sequence)
  • Error messages quoted from logs
  • Verification command strings

Resume terse after the precision-required part is done.

Persistence

Active when the skill is invoked. Stays active until the user says "stop terse", "normal mode", or "stop conducty-terse". No drift mid-session. If unsure whether terse still applies, default to active.

Interaction with caveman

caveman covers user-facing chat compression. conducty-terse covers conducty artifacts written to the vault or dispatched to subagents.

  • Both can be active simultaneously — they target different surfaces.
  • If both active and they conflict: conducty-terse wins for vault and subagent artifacts; caveman wins for user-facing chat.
  • Turning one off does not turn the other off.

Principles

  • Compression is downstream of clarity — never sacrifice acceptance criteria precision for terseness
  • Exact strings are sacred — file paths, errors, commands, link targets, acceptance criteria, no-go zones never paraphrase
  • Terse the prose, not the spec — narrative shrinks, structure stays
  • Vault artifacts are read many times — every word saved pays compound interest across plan, checkpoint, review, improve, and future plans loading the same context
  • Subagents inherit your terseness — a tight prompt teaches the subagent the register; a bloated prompt invites a bloated reply

© robertbarclayy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/conducty-terse of robertbarclayy/conducty.

Open the folder on GitHubat commit 64aefd5

Compare with similar skills

Conducty Terse next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Conducty Terse compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Conducty Terse this skillrobertbarclayy/conducty176—~1.6kAutomated safety check: PassMIT
Extracting Requirementsprime-radiant-inc/iterative-development181—~2.7kAutomated safety check: PassApache-2.0
Skill Studioglebis/claude-skills391—~2.8kAutomated safety check: PassMIT
Idea ValidatorMathews-Tom/armory329—~2.9kAutomated safety check: PassMIT
Coherence AuditorGoogleChrome/modern-web-guidance-src1.1k—~864Automated safety check: PassApache-2.0
Agent RelayAgentWorkforce/relay869—~1.7kAutomated safety check: PassApache-2.0

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  • Conducty Debug

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Questions about Conducty Terse

What does Conducty Terse do?

Caveman-style compression for conducty orchestration artifacts — subagent prompt text, plan note prompt blocks, prompt log entries, checkpoint notes. Conducty Terse is an agent skill from robertbarclayy/conducty. Caveman-style compression for conducty orchestration artifacts — subagent prompt text, plan note prompt blocks, prompt log entries, checkpoint notes.

When should I use Conducty Terse?

Conducty Terse fits situations like: user says conducty-terse; compress prompts; invokes /conducty-terse.

How do I install Conducty Terse in Claude Code?

Run `npx skills add robertbarclayy/conducty --skill conducty-terse -a claude-code`. Or copy the skill folder (skills/conducty-terse in robertbarclayy/conducty) into .claude/skills/conducty-terse in your project. Claude Code loads it when a task matches its description.

How do I install Conducty Terse in Codex?

Run `npx skills add robertbarclayy/conducty --skill conducty-terse -a codex`. Or copy the skill folder (skills/conducty-terse in robertbarclayy/conducty) into .agents/skills/conducty-terse in your project. Codex loads it when a task matches its description.

Can I use Conducty Terse in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add robertbarclayy/conducty --skill conducty-terse -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/conducty-terse, .gemini/skills/conducty-terse, .github/skills/conducty-terse and .opencode/skills/conducty-terse in your project.

What does Conducty Terse need to run?

Going by SKILL.md and its folder, Conducty Terse needs the command-line tools its instructions call (pnpm).

Does Conducty Terse access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Conducty Terse safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Conducty Terse use?

Conducty Terse is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Conducty Terse use?

About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Conducty Terse?

Skills that share tags, products or a category with Conducty Terse: Extracting Requirements (prime-radiant-inc/iterative-development, 181 stars), Skill Studio (glebis/claude-skills, 391 stars), Idea Validator (Mathews-Tom/armory, 329 stars) and Coherence Auditor (GoogleChrome/modern-web-guidance-src, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Conducty Terse?

robertbarclayy (a GitHub user) maintains it in robertbarclayy/conducty, which has 176 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on June 19, 2026.

Source: robertbarclayy/conducty on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.