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Agent skill

Piv Run Full Loop

by coleam00 in coleam00/skills

Autonomously develops a complete feature from priming through planning, execution, and commit by chaining the four core PIV-loop skills.

MITAuto-check passedAgent Workflows

Install Piv Run Full Loop

skills CLI
$ npx skills add coleam00/skills --skill piv-run-full-loop -a claude-code

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

GitHub CLI
$ gh skill install coleam00/skills piv-run-full-loop --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/coleam00/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/piv-run-full-loop .claude/skills/piv-run-full-loop && 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
piv-run-full-loop
GitHub stars
674
Token cost
~518 tokens
SKILL.md length
204 words
Files
1
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Autonomously develops a complete feature from priming through planning, execution, and commit by chaining the four core PIV-loop skills.

  • Works in 4 steps: Prime - Load Codebase Context → Planning - Create Implementation Plan → Execute - Implement the Feature → …
  • You want a full hands-off feature build from a single description
  • SKILL.md covers Step 1: Prime - Load Codebase…, Step 2: Planning - Create…, Step 3: Execute - Implement… and Step 4: Commit - Save Changes, plus 1 more section
  • Calls git

What it does

Piv Run Full Loop is an agent skill from coleam00/skills. Autonomously develops a complete feature from priming through planning, execution, and commit by chaining the four core PIV-loop skills. Use when you want a full hands-off feature build from a single description.

Its SKILL.md is about 520 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 Planning. The repository describes itself as: The agent skills I actually use to build software with coding agents. The PIV loop, planning, worktrees, and the meta-skills for building your own AI Layer. The licence is MIT.

When your agent uses it

  • You want a full hands-off feature build from a single description
  • Tasks that involve Planning

Example prompts

  • “/piv-run-full-loop”

Workflow steps

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

  1. Prime - Load Codebase Context
  2. Planning - Create Implementation Plan
  3. Execute - Implement the Feature
  4. Commit - Save Changes

What it can do on your machine

Read from SKILL.md and the folder at commit 847be08. 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:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, 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

Piv Run Full Loop loads about 518 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 204 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~518

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 coleam00/skills at commit 847be08, republished under its MIT licence (© coleam00). 204 words, ~518 tokens.

Download SKILL.mdSave it as .claude/skills/piv-run-full-loop/SKILL.md (or your agent's skills folder).
name
piv-run-full-loop
description
Autonomously develops a complete feature from priming through planning, execution, and commit by chaining the four core PIV-loop skills. Use when you want a full hands-off feature build from a single description.
argument-hint
feature-description

End-to-End Feature Development

Feature Description: $ARGUMENTS

This skill chains the 4 core PIV-loop skills for autonomous feature development.

Step 1: Prime - Load Codebase Context

Execute the priming workflow to understand the codebase.

Run the prime-codebase skill (.claude/skills/prime-codebase/SKILL.md).

Step 2: Planning - Create Implementation Plan

Create a detailed implementation plan for the feature.

Run the piv-plan-implementation skill (.claude/skills/piv-plan-implementation/SKILL.md) with the feature description: $ARGUMENTS.

IMPORTANT: Note the feature name (and plan file path) that the planning step creates. You'll need it for the next step.

Step 3: Execute - Implement the Feature

Implement the feature from the plan document.

Run the piv-implement skill (.claude/skills/piv-implement/SKILL.md) with the plan file path: .claude/plans/[feature-name].md.

(Use the feature name from Step 2.)

Step 4: Commit - Save Changes

Create a git commit for all changes.

Run the piv-commit skill (.claude/skills/piv-commit/SKILL.md).

Final Summary

After completing all 4 steps, provide:

Feature Implementation Complete

Original Request: $ARGUMENTS

Feature Name: [feature-name from planning step]

Steps Executed:

  1. ✅ Prime - Codebase context loaded
  2. ✅ Planning - Plan created at .claude/plans/[feature-name].md
  3. ✅ Execute - Feature implemented and validated
  4. ✅ Commit - Changes committed to git

Outputs:

  • Plan document: .claude/plans/[feature-name].md
  • Files created/modified: [list]
  • Tests added: [list]
  • Commit hash: [hash]

Next Steps:

  • Push to remote: git push
  • Create pull request (if applicable)
  • Continue with next feature

© coleam00, 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 .claude/skills/piv-run-full-loop of coleam00/skills.

Open the folder on GitHubat commit 847be08

Compare with similar skills

Piv Run Full Loop 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.

Piv Run Full Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Piv Run Full Loop this skillcoleam00/skills674—~518Automated safety check: PassMIT
Executing Plans Inlineobra/superpowers297k2 repos~5.1kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills103k6 repos~3.8kAutomated safety check: PassMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Writing Plansgeeksblabla/stateofdev.ma16357 repos~661Automated safety check: PassNone
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone

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  • Executing Plans Inline

    obra/superpowers

    Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.

    297k GitHub starsUsed in 2 repos~5.1k tokens
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  • Planning With Files

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Categories

Questions about Piv Run Full Loop

What does Piv Run Full Loop do?

Autonomously develops a complete feature from priming through planning, execution, and commit by chaining the four core PIV-loop skills. Piv Run Full Loop is an agent skill from coleam00/skills. Autonomously develops a complete feature from priming through planning, execution, and commit by chaining the four core PIV-loop skills.

When should I use Piv Run Full Loop?

Piv Run Full Loop fits situations like: you want a full hands-off feature build from a single description; tasks that involve Planning.

How do I install Piv Run Full Loop in Claude Code?

Run `npx skills add coleam00/skills --skill piv-run-full-loop -a claude-code`. Or copy the skill folder (.claude/skills/piv-run-full-loop in coleam00/skills) into .claude/skills/piv-run-full-loop in your project. Claude Code loads it when a task matches its description.

How do I install Piv Run Full Loop in Codex?

Run `npx skills add coleam00/skills --skill piv-run-full-loop -a codex`. Or copy the skill folder (.claude/skills/piv-run-full-loop in coleam00/skills) into .agents/skills/piv-run-full-loop in your project. Codex loads it when a task matches its description.

Can I use Piv Run Full Loop 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 coleam00/skills --skill piv-run-full-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/piv-run-full-loop, .gemini/skills/piv-run-full-loop, .github/skills/piv-run-full-loop and .opencode/skills/piv-run-full-loop in your project.

What does Piv Run Full Loop need to run?

Going by SKILL.md and its folder, Piv Run Full Loop needs the command-line tools its instructions call (git).

Does Piv Run Full Loop access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Piv Run Full Loop 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 Piv Run Full Loop use?

Piv Run Full Loop 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 Piv Run Full Loop use?

About 518 tokens (SKILL.md is roughly 2.1k 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 Piv Run Full Loop?

Skills that share tags, products or a category with Piv Run Full Loop: Executing Plans Inline (obra/superpowers, 297k stars), Interview Me (addyosmani/agent-skills, 103k stars), OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars) and Writing Plans (geeksblabla/stateofdev.ma, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Piv Run Full Loop?

coleam00 (a GitHub user) maintains it in coleam00/skills, which has 674 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 7, 2026.

Source: coleam00/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.