Agent skill

Conducty Execute

by robertbarclayy in robertbarclayy/conducty

Dispatches Claude Code Task subagents to run prompts from a vault plan note.

MITAuto-check passedAgent Workflows

Install Conducty Execute

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

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

GitHub CLI
$ gh skill install robertbarclayy/conducty conducty-execute --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-execute .claude/skills/conducty-execute && 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-execute
GitHub stars
176
Token cost
~2.5k tokens
SKILL.md length
1,141 words
Files
4
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Dispatches Claude Code Task subagents to run prompts from a vault plan note.

  • Works in 2 steps: Tracer Execution → Group Execution
  • The user says execute the plan
  • SKILL.md covers Core Concepts, The Process, Handling Implementer Status and Time Budget Enforcement, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Conducty Execute is an agent skill from robertbarclayy/conducty. Dispatches Claude Code Task subagents to run prompts from a vault plan note. Tracer-first execution, time-budgeted work, calibrated review rigor. Use when the user says "execute the plan", "run group A", "dispatch", or is ready to run prompts from a Plans/Plan YYYY-MM-DD HHmm note in the vault.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `implementer-prompt.md`, `quality-reviewer-prompt.md` and `spec-reviewer-prompt.md`).

It sits in Agent Workflows, covering Subagents. 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

  • The user says execute the plan
  • Is ready to run prompts from a Plans/Plan YYYY-MM-DD HHmm note in the vault

Example prompts

  • “execute the plan”
  • “run group A”
  • “dispatch”
  • “/conducty-execute”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Tracer Execution
  2. Group Execution

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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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 Execute loads about 2.5k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 1,141 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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). 1,141 words, ~2,532 tokens.

Download SKILL.mdSave it as .claude/skills/conducty-execute/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
conducty-execute
description
Dispatches Claude Code Task subagents to run prompts from a vault plan note. Tracer-first execution, time-budgeted work, calibrated review rigor. Use when the user says "execute the plan", "run group A", "dispatch", or is ready to run prompts from a `Plans/Plan YYYY-MM-DD HHmm` note in the vault.
aliases
conducty-execute, execute
tags
conducty/skill, conducty/execute

Conducty Execute — Tracer-First Subagent Execution

Execute prompts from the active plan note (in the Obsidian vault — see [[conducty-obsidian]]) by dispatching fresh Claude Code subagents (via the Task tool) with context curation, time budgets, and review rigor that scales with risk. The first prompt in each group runs as a tracer to validate plan assumptions before the rest execute.

Core Concepts

Tracer-first: The prompt marked ★ TRACER in each group runs alone. If it succeeds, the plan's assumptions hold and the remaining prompts execute. If it fails, stop — the plan needs revision, not just a fix prompt. Tracers catch bad assumptions before they multiply across an entire group.

Time-budgeted: Each prompt has a time budget from the plan. If a subagent exceeds it, that's a signal — either the prompt is underscoped, the complexity was misjudged, or the agent is stuck. Treat it as a circuit breaker, not a hard kill.

Calibrated review: Not every prompt needs the same oversight. The plan assigns a review level based on complexity:

Review LevelWhenWhat Happens After Implementation
verify-onlyLow complexityRun verification command. Pass? Done.
spec-reviewMedium complexityRun verification + dispatch spec reviewer.
full-reviewHigh complexityRun verification + spec reviewer + quality reviewer.

Context curation: The orchestrator (you) constructs exactly what each subagent needs. Not your session history, not the entire project — precisely the prompt text, relevant context files, and scene-setting for where this work fits. This is the surgical team model: the surgeon thinks, the team executes with curated information.

The Process

Phase 1: Tracer Execution
1. Read the plan note from the vault, extract the tracer prompt for the target group
2. Dispatch tracer as a single implementer subagent (Task tool)
3. Handle the result:
   - DONE → Run verification via [[conducty-verify]] → Pass? Proceed to Phase 2
   - DONE → Verification fails → STOP. This is a plan problem, not a prompt problem.
     Analyze: is the verification wrong, or is the plan's approach wrong?
   - BLOCKED/NEEDS_CONTEXT → STOP. The plan's assumptions are wrong.
     Don't execute the remaining prompts. Revise the plan.
4. Report tracer result to user before proceeding

The tracer is your early warning system. Respect its signal.

Phase 2: Group Execution
For each remaining prompt in the group:
  1. Dispatch implementer subagent (see [[implementer-prompt]])
  2. Handle implementer status (see below)
  3. Apply review level from the plan:
     - verify-only → Run verification. Pass? Mark complete.
     - spec-review → Run verification + dispatch spec reviewer ([[spec-reviewer-prompt]])
     - full-review → Run verification + spec reviewer + quality reviewer ([[quality-reviewer-prompt]])
  4. If review fails → implementer fixes → re-review (same level)
  5. Mark prompt complete with evidence
After all prompts → run [[conducty-checkpoint]] for the group
Gate: user confirms before next group
Dispatching Subagents

Use Claude Code's Task tool. The default subagent_type is general-purpose (always available). If the harness exposes specialized subagents (e.g. Explore for read-only codebase analysis, Plan for architecture work), use them where their description fits — they don't replace the implementer model selection below.

Choose model by the prompt's complexity:

ComplexityModelWhy
Low (isolated function, clear spec, 1-2 files)haikuFast and cheap; sufficient for narrow work
Medium (multi-file, integration, pattern matching)sonnetDefault for most implementation work
High (design judgment, broad codebase understanding)opusReserve for genuinely hard problems

For read-only review subagents (spec reviewer, quality reviewer, code-review lens subagents), use the Explore subagent type if available; otherwise general-purpose. Run them at haiku or sonnet — review is pattern matching, not generation.

Context curation checklist — provide exactly:

  1. The full prompt text (pasted, not a file reference — subagents don't read plan files)
  2. Scene-setting: which project, where this fits in the broader plan, what came before
  3. Relevant architecture from the project context file
  4. Dependencies on prior prompt outputs (if any)
  5. The no-go zones from the prompt
  6. The time budget

Do not provide: Your session history, unrelated plan context, the entire project tree.

Handling Implementer Status

DONE: Apply the prompt's review level.

DONE_WITH_CONCERNS: Read the concerns. Correctness/scope concerns → address before review. Observational concerns (file getting large, questionable existing patterns) → note for future planning, proceed to review.

NEEDS_CONTEXT: The prompt was underspecified. Provide the missing context and re-dispatch. Check the project context file first. If the context doesn't exist, this is a prompt quality issue — note it for [[conducty-improve]].

BLOCKED: Assess the blocker:

  1. Context problem → provide more context, re-dispatch
  2. Task exceeds agent capability → re-dispatch with a more capable model (opus)
  3. Task too large → split into sub-prompts, dispatch sequentially
  4. Plan assumption is wrong → stop and revise the plan for this prompt

Never force-retry without changing something. If the agent said it's stuck, something about the prompt, the context, or the model needs to change.

Time Budget Enforcement

When a subagent has been running significantly longer than the prompt's time budget:

  1. Check if it's making progress (producing output, committing) or stuck (silent, looping)
  2. If stuck: interrupt and treat as BLOCKED
  3. If progressing but slow: let it finish, but flag the time overrun in checkpoint notes
  4. Either way: this means the complexity estimate was wrong. Note it for [[conducty-improve]] so future plans calibrate better.
Show full SKILL.md (473 more words)Show less

Orchestrator Context Management

Long plans burn the orchestrator's context window. Each subagent dispatch returns a result back into your session, plan-note reads accumulate, and verification output stacks up. Without management you run out of context mid-plan and lose conceptual integrity.

The orchestrator is a stateful coordinator, but its session is cache — durable state lives in the vault (plan notes, checkpoint notes, [[Prompt Log]]). Treat /compact as a normal phase boundary, not a panic move.

When to /compact:

  • Between groups, never mid-group. Group boundary is the safe point — all subagent dispatches for the group have returned, [[conducty-checkpoint]] has run, and the plan note records the group's state.
  • Heuristic triggers:
    • 3+ groups remaining and the orchestrator session is already long (heavy tool output accumulated)
    • Claude Code warns context is approaching the limit
    • The just-finished group included large file reads, verbose code review output, or long verification logs
    • The just-finished group ran at full-review (three subagents per prompt — implementer + spec reviewer + quality reviewer — accumulates fast)
    • About to enter a group whose prompts will themselves return large outputs (codebase-wide refactors, multi-file generations)

Compact protocol:

  1. Before compact — confirm durable state is written:
    • Plan note marks the just-finished group's prompts complete with evidence
    • Checkpoint note exists for the group
    • [[Prompt Log]] has entries for each prompt in the group
    • In-flight observations for [[conducty-improve]] are captured in the plan note's improvement-feedback section, not just in your head
  2. Compact — /compact summarizes the session
  3. After compact — restore cycle position before dispatching the next group:
    • Re-read the active plan note from the vault
    • Re-read the most recent checkpoint note
    • Re-read the last few entries in [[Prompt Log]]
    • Identify: which group is next, which prompt is its tracer, what no-go zones apply, what improvement experiments this plan is testing

Never compact mid-group. A compact between the tracer and the rest of a group risks losing the tracer's signal — the evidence that justified proceeding. Finish the group, checkpoint, then compact.

Subagents are unaffected. Each subagent dispatch is a fresh Task with a fresh window. Your /compact has no impact on already-dispatched or future subagents — they receive curated context per dispatch regardless.

Subagent Prompt Templates

  • [[implementer-prompt]] — Dispatch an implementer subagent
  • [[spec-reviewer-prompt]] — Dispatch spec compliance reviewer (for spec-review and full-review)
  • [[quality-reviewer-prompt]] — Dispatch code quality reviewer (for full-review only)

Principles

  • Tracer result is a plan signal — a tracer failure means "revise the plan," not "fix the prompt"
  • Context is curated, not dumped — give subagents exactly what they need, nothing more
  • Review rigor matches risk — ceremony for high-risk work, speed for low-risk work
  • Time budgets are circuit breakers — they surface misestimates, not punish slow agents
  • Every completion claim needs evidence — use [[conducty-verify]] before marking anything done
  • Failures are learning data — every BLOCKED, every NEEDS_CONTEXT, every time overrun feeds back to [[conducty-improve]]
  • The orchestrator doesn't implement — you coordinate, curate context, and maintain conceptual integrity. The subagents implement.

© 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

SKILL.md and 3 other files in skills/conducty-execute of robertbarclayy/conducty.

  • SKILL.md
  • implementer-prompt.md
  • quality-reviewer-prompt.md
  • spec-reviewer-prompt.md

Open the folder on GitHubat commit 64aefd5

Compare with similar skills

Conducty Execute 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 Execute compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Conducty Execute this skillrobertbarclayy/conducty176—~2.5kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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More from robertbarclayy/conducty

All 20 skills in this repo
  • Conducty Checkpoint

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    176 GitHub stars~1.5k tokensUpdated 3 mo ago
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  • Conducty Code Review

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  • Conducty Context

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    Ingest a project directory into the Obsidian vault as a linked context sub-graph — Architecture, Conventions, Invariants, Hotspots, Tests, Glossary, plus per-bounded-context module notes.

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  • Conducty Debug

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    176 GitHub stars~1.9k tokensUpdated 3 mo ago
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  • Conducty Improve

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    End-of-plan improvement kata. An agent skill from robertbarclayy/conducty.

    176 GitHub stars~1.5k tokensUpdated 3 mo ago
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  • Conducty Plan

    robertbarclayy/conducty

    Batch planning of AI prompts. An agent skill from robertbarclayy/conducty.

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Categories

Questions about Conducty Execute

What does Conducty Execute do?

Dispatches Claude Code Task subagents to run prompts from a vault plan note. Conducty Execute is an agent skill from robertbarclayy/conducty. Dispatches Claude Code Task subagents to run prompts from a vault plan note.

When should I use Conducty Execute?

Conducty Execute fits situations like: the user says execute the plan; is ready to run prompts from a Plans/Plan YYYY-MM-DD HHmm note in the vault.

How do I install Conducty Execute in Claude Code?

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

How do I install Conducty Execute in Codex?

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

Can I use Conducty Execute 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-execute -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-execute, .gemini/skills/conducty-execute, .github/skills/conducty-execute and .opencode/skills/conducty-execute in your project.

What does Conducty Execute need to run?

SKILL.md names no scripts, command-line tools or credentials: Conducty Execute is instructions for the agent only.

Does Conducty Execute 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 Execute 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 Execute use?

Conducty Execute 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 Execute use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Execute?

Skills that share tags, products or a category with Conducty Execute: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Conducty Execute?

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.