v-implementing

v-implementing is a skill for Claude Code from desplega-ai/ai-toolbox. It costs 111 tokens per session (2,754 once invoked), scanned A, original, no licence file.

A workflow for implementing a plan whose steps are arranged by dependencies and can run in parallel. It schedules steps when their prerequisites are complete and assigns independent work to separate coding agents.

In plain words
What is it for?
Use it with a plan created by v-planning to run ready steps, coordinate dependent work, and implement parallel features.
Why use it?
It reduces manual coordination when a project has several implementation tasks that can proceed at the same time.

Skill for Claude Code

Written for Claude Code: hooks in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the desplega plugin — 23 skills, 19 commands, 6 agents shipped together

Good fit Use it with a plan created by v-planning to run ready steps, coordinate dependent work, and implement parallel features.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add desplega-ai/ai-toolbox
Claude Code
/plugin install desplega

Made for: Claude Code.

Or install desplega, the plugin that ships this one along with the rest of its 23 skills, 19 commands, 6 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for v-implementing

README.md
[![agentmods](https://agentmods.dev/badge/skills/desplega-ai/ai-toolbox/v-implementing.svg)](https://agentmods.dev/skills/desplega-ai/ai-toolbox/v-implementing)
Your own site
<a href="https://agentmods.dev/skills/desplega-ai/ai-toolbox/v-implementing"><img src="https://agentmods.dev/badge/skills/desplega-ai/ai-toolbox/v-implementing.svg" alt="Measured on agentmods" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,754 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.02754
Opus 5 $0.00056 $0.01377
Sonnet 5 $0.00022 $0.00551
Haiku 4.5 $0.00011 $0.00275

Measured 7d ago against content hash 1d7d27544f7a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

v-implementing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cc-plugin/base/skills/v-implementing/SKILL.md · 183 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 183 lines · 111 tokens per session scan A 1d7d27544f7a

Subscribe to this mod's changes

v-implementing is a skill published in the GitHub repository desplega-ai/ai-toolbox (34 stars, last pushed today), with no licence file. It adds 111 tokens to every session and 2,754 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

haiku

When writing a haiku for this bot, follow these conventions.

agno-agi/agno · 0 tokens

azure-mgmt-botservice-dotnet

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

microsoft/skills · 78 tokens

fastapi-router-py

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.

microsoft/skills · 46 tokens

dogfood

Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.

callstack/agent-device · 55 tokens