Agent skill

Conducty Checkpoint

by robertbarclayy in robertbarclayy/conducty

Quality gate between parallelization groups. An agent skill from robertbarclayy/conducty.

MITAuto-check passedTesting & QA

Install Conducty Checkpoint

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

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

GitHub CLI
$ gh skill install robertbarclayy/conducty conducty-checkpoint --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-checkpoint .claude/skills/conducty-checkpoint && 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-checkpoint
GitHub stars
176
Token cost
~1.5k tokens
SKILL.md length
687 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Quality gate between parallelization groups. An agent skill from robertbarclayy/conducty.

  • Works in 8 steps: Load the Plan → Systemic Failure Check → Verify Each Prompt (Calibrated) → …
  • A group finishes
  • SKILL.md covers The Iron Law, Workflow and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Conducty Checkpoint is an agent skill from robertbarclayy/conducty. Quality gate between parallelization groups. Verifies every prompt at its assigned review level, computes health metrics, detects systemic failures, updates hill charts. Use when a group finishes, the user says "checkpoint" or "verify group", or between groups in a plan note.

Its SKILL.md is about 1.5k 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 Testing & QA, covering Quality gates. 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

  • A group finishes
  • The user says checkpoint
  • Between groups in a plan note

Example prompts

  • “checkpoint”
  • “verify group”
  • “/conducty-checkpoint”

Workflow steps

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

  1. Load the Plan
  2. Systemic Failure Check
  3. Verify Each Prompt (Calibrated)
  4. Compute Health Metrics
  5. Update Hill Chart
  6. Generate Fix Prompts
  7. Record Checkpoint Results
  8. Gate the Next Group

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 (its code samples are markdown).

    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 Checkpoint loads about 1.5k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 687 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 687 words, ~1,541 tokens.

Download SKILL.mdSave it as .claude/skills/conducty-checkpoint/SKILL.md (or your agent's skills folder).
name
conducty-checkpoint
description
Quality gate between parallelization groups. Verifies every prompt at its assigned review level, computes health metrics, detects systemic failures, updates hill charts. Use when a group finishes, the user says "checkpoint" or "verify group", or between groups in a plan note.
aliases
conducty-checkpoint, checkpoint
tags
conducty/skill, conducty/checkpoint

Conducty Checkpoint — Health-Aware Group Gate

Gate between parallelization groups. Verifies every prompt using calibrated review, computes health metrics, detects systemic failures, updates hill charts, and generates leverage-appropriate fix prompts before the next group begins.

The Iron Law

NO GROUP ADVANCEMENT WITHOUT INDEPENDENT VERIFICATION OF EVERY PROMPT

Do not trust self-reports. Verify independently using [[conducty-verify]] at the prompt's assigned review level.

Workflow

Step 1: Load the Plan

Read the active plan note from the vault (Plans/Plan YYYY-MM-DD HHmm [Topic].md — see [[conducty-obsidian]]). Identify the just-completed group.

Step 2: Systemic Failure Check

Before reviewing individual prompts, scan for systemic issues:

  • How many prompts in the group completed vs. failed/blocked?
  • Do failures share common symptoms (same error, same module, same missing context)?
  • Did the tracer succeed but other prompts fail? (Suggests the tracer wasn't representative)

If 2+ prompts failed with related symptoms: Flag as potential systemic issue. Investigate at the plan/design level (via [[conducty-debug]] leverage analysis) BEFORE generating individual fix prompts. Individual fixes for a systemic problem waste retry slots.

Step 3: Verify Each Prompt (Calibrated)

For each completed prompt, apply its assigned review level:

verify-only prompts:

  1. Run the verification command via [[conducty-verify]]
  2. Pass? → mark completed
  3. Fail? → mark needs-fix

spec-review prompts:

  1. Run the verification command
  2. If verification passes, dispatch spec compliance reviewer
  3. Both pass? → mark completed
  4. Either fails? → mark needs-fix, note which stage failed

full-review prompts:

  1. Run the verification command
  2. If verification passes, dispatch spec reviewer
  3. If spec passes, dispatch quality reviewer
  4. All three pass? → mark completed
  5. Any fails? → mark needs-fix, note which stage failed

For every prompt, record the result in the evidence format from [[conducty-verify]].

Step 4: Compute Health Metrics

After reviewing all prompts, calculate:

markdown
### Group {X} Health — {timestamp}

| Metric | Value |
|--------|-------|
| Total prompts | N |
| First-attempt passes | N |
| Needs fix | N |
| Blocked | N |
| First-attempt pass rate | N% |
| Tracer result | pass/fail |

Interpret the metrics:

  • Pass rate > 80%: Healthy. Plan and prompts are well-calibrated.
  • Pass rate 50-80%: Concerning. Prompt quality or context may need improvement. Note patterns.
  • Pass rate < 50%: Unhealthy. Likely a plan-level or design-level issue. Investigate systemically before generating fixes.
  • Tracer failed but others passed: The tracer wasn't representative — note this for future planning.
  • Tracer passed but others failed: The group had hidden dependencies or context gaps.

Update the running health metrics in the plan's ## Health Metrics (Running) section.

Step 5: Update Hill Chart

For each goal that had prompts in this group:

  • Did all its prompts pass? → Move toward downhill (making it happen)
  • Did prompts fail with design issues? → Move toward uphill (still figuring it out)
  • Was progress made but work remains? → Note position

Update the plan's ## Hill Chart Update section.

Show full SKILL.md (279 more words)Show less
Step 6: Generate Fix Prompts

For each prompt marked needs-fix:

  1. Invoke [[conducty-debug]] to determine the leverage point (plan / prompt / code)
  2. Increment the prompt's Retries count
  3. If Retries < 3, generate a fix at the appropriate leverage level:
    • Plan-level: revise the plan, don't generate a code fix
    • Prompt-level: rewrite the prompt with better context/criteria
    • Code-level: generate a root-cause-informed fix prompt
    • Insert fix prompts at the start of the next group
  4. If Retries >= 3, set Status to blocked:
    • Include summary of all attempts and the pattern across them
    • Identify which leverage level was missed
    • This needs human intervention or design revision
Step 7: Record Checkpoint Results

Update the plan's ## Checkpoint Notes section:

markdown
### Group {X} Checkpoint — {timestamp}

**Health:** {pass rate}% first-attempt pass rate ({N}/{total})
**Systemic issues:** {none / description}

**Per-prompt results:**
- **P{N}**: {review-level} → {pass/needs-fix/blocked} — {brief note with evidence}

**Hill chart movement:**
- Goal 1: {position change}

**Fix prompts generated:** {count, leverage levels}
Step 8: Gate the Next Group

Present the checkpoint to the user:

  • All passed: "Group {X} passed checkpoint ({N}% pass rate). Ready for Group {Y}."
  • Fixes generated: "Group {X}: {N}/{total} passed. {M} fix prompts generated (leverage: {levels}). Review and proceed?"
  • Blocked prompts: "Group {X} has {N} blocked prompts (3+ failures). Pattern: {description}. Needs design review."
  • Systemic issue: "Group {X} shows a systemic failure pattern: {description}. Recommend revising the plan before continuing."

Do not proceed until the user confirms.

Principles

  • Health metrics are the primary signal — pass rate tells you about plan quality, not just code quality
  • Systemic detection before individual fixes — don't waste retries on symptoms of a shared cause
  • Hill charts track progress at the goal level — a goal that stalls uphill needs design work, not more prompts
  • Review level from the plan — don't over-review low-risk or under-review high-risk
  • 3-strike circuit breaker — three failures means the fix is at the wrong leverage level
  • Every checkpoint is learning data — health metrics and patterns feed into [[conducty-improve]]

© 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-checkpoint of robertbarclayy/conducty.

Open the folder on GitHubat commit 64aefd5

Compare with similar skills

Conducty Checkpoint 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 Checkpoint compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Conducty Checkpoint this skillrobertbarclayy/conducty176—~1.5kAutomated safety check: PassMIT
Feature Plannerserendipity1004/cc-feature-implementer176—~2.4kAutomated safety check: PassNone
Ccg Workflowfengshao1227/ccg-workflow5.9k—~2.3kAutomated safety check: PassMIT
Mission Plannerjdforsythe/forge151—~3.5kAutomated safety check: PassMIT
Quality Gate0xNyk/lacp305—~382Automated safety check: PassMIT
Deploy Workflownwiizo/ccswarm153—~582Automated safety check: PassMIT

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More from robertbarclayy/conducty

All 20 skills in this repo
  • Conducty Code Review

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  • Conducty Debug

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  • Conducty Execute

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  • Conducty Improve

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  • Conducty Plan

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Categories

Questions about Conducty Checkpoint

What does Conducty Checkpoint do?

Quality gate between parallelization groups. An agent skill from robertbarclayy/conducty. Conducty Checkpoint is an agent skill from robertbarclayy/conducty. Quality gate between parallelization groups.

When should I use Conducty Checkpoint?

Conducty Checkpoint fits situations like: A group finishes; the user says checkpoint; between groups in a plan note.

How do I install Conducty Checkpoint in Claude Code?

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

How do I install Conducty Checkpoint in Codex?

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

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

What does Conducty Checkpoint need to run?

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

Does Conducty Checkpoint 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 Checkpoint 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 Checkpoint use?

Conducty Checkpoint 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 Checkpoint use?

About 1.5k tokens (SKILL.md is roughly 6.2k 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 Checkpoint?

Skills that share tags, products or a category with Conducty Checkpoint: Feature Planner (serendipity1004/cc-feature-implementer, 176 stars), Ccg Workflow (fengshao1227/ccg-workflow, 5.9k stars), Mission Planner (jdforsythe/forge, 151 stars) and Quality Gate (0xNyk/lacp, 305 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Conducty Checkpoint?

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.