Agent skill

Qv Qip Create

by tetherto in tetherto/qvac

Drafts concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Qv Qip Create

skills CLI
$ npx skills add tetherto/qvac --skill qv-qip-create -a claude-code

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

GitHub CLI
$ gh skill install tetherto/qvac qv-qip-create --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/tetherto/qvac.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/qv-qip-create .claude/skills/qv-qip-create && 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
qv-qip-create
GitHub stars
683
Token cost
~1.7k tokens
SKILL.md length
966 words
Files
3 (incl. references)
Skills in repo
50
Repo updated
First seen
Licence
Apache-2.0

At a glance

Drafts concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs.

  • Works in 3 steps: Read references/qip-template.md. → Read docs/architecture/PRINCIPLES.md. → When the proposal affects public SDK…
  • Shaping a fuzzy proposal after qv-qip-triage
  • SKILL.md covers Ground the proposal, Intake and readiness, Draft contract and Consultation, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Qv Qip Create is an agent skill from tetherto/qvac. Drafts concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs. Use when creating a QIP, shaping a fuzzy proposal after qv-qip-triage, or invoking /qv-qip-create.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/qip-template.md`).

It sits in AI & LLM Engineering. The repository describes itself as: Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference, and more… The licence is Apache-2.0.

When your agent uses it

  • Shaping a fuzzy proposal after qv-qip-triage
  • Invoking /qv-qip-create

Example prompts

  • “Use the qv-qip-create skill to draft concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs”
  • “/qv-qip-create”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Read references/qip-template.md.
  2. Read docs/architecture/PRINCIPLES.md.
  3. When the proposal affects public SDK API, native bindings, runtime, mobile support, storage, transport, model registry, release flow, or…

What it can do on your machine

Read from SKILL.md and the folder at commit f874b3a. 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

Qv Qip Create loads about 1.7k tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 966 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

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 tetherto/qvac at commit f874b3a, republished under its Apache-2.0 licence (© tetherto). 966 words, ~1,742 tokens.

Download SKILL.mdSave it as .claude/skills/qv-qip-create/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
qv-qip-create
description
Drafts concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs. Use when creating a QIP, shaping a fuzzy proposal after qv-qip-triage, or invoking /qv-qip-create.
disable-model-invocation
true

QIP Proposal Create

Help an author produce a concise architectural decision brief for Slack Canvas. It tells stakeholders why a decision is needed, what direction is proposed, where it fits in the architecture, and which important trade-offs they must accept. Keep the main proposal focused on that decision; place useful supporting detail in an optional Appendix.

Use qv-qip-triage to decide whether a QIP is needed and qv-qip-review to assess an existing draft.

Ground the proposal

Before drafting:

  1. Read references/qip-template.md.
  2. Read docs/architecture/PRINCIPLES.md.
  3. When the proposal affects public SDK API, native bindings, runtime, mobile support, storage, transport, model registry, release flow, or security boundaries, inspect the relevant current docs or code. Establish the current behavior and proposed architectural delta.

Do not draft from general knowledge alone. Ground substantive claims in user-provided context, repository sources, or clearly labeled assumptions. Prefer questions over assumptions; when a first pass needs assumptions, label them so the author can confirm or remove them. Do not invent motivations, commitments, supported platforms, release plans, security or performance properties, or ownership decisions.

Investigation may be extensive; publication should not be. Use research to validate and compress the QIP rather than reproducing it.

Intake and readiness

Ask only for missing decision context, one question at a time unless the user requests a batch. For a terse or fuzzy idea, ask about the next unanswered readiness item below rather than jumping directly to a draft. Skip questions when the brief already satisfies the readiness gate or the user requests a first pass with assumptions.

A QIP is ready to draft when these are known:

  • problem and why a decision is needed now;
  • affected architectural or product surface, current behavior, and the proposed change;
  • one recommended direction and the exact approval ask;
  • at least one credible alternative and why the recommendation is preferable;
  • decision-driving benefits, costs, new responsibilities, and failure modes;
  • relevant trust-boundary, compatibility, migration, or release impact;
  • likely out-of-scope areas when readers could reasonably assume they are included.

A technology list, package name, or desired outcome without this context is a fuzzy idea. Help the author shape it, but do not choose the primary motivation or direction for them. If no direction is ready to recommend, continue discovery or explain what is missing; do not label an option survey as an approval-ready QIP.

Stop and ask rather than draft when the primary motivation, recommended direction, material impact, or accepted trade-off remains unresolved or would have to be inferred.

Draft contract

  • Target 600-900 words of core proposal content and treat 1,200 words as a soft ceiling, excluding the approvers table and Appendix.
  • Write at the architectural level: responsibilities, boundaries, interactions, and constraints that could change approval.
  • Explain why the chosen direction is preferable to the most credible alternative.
  • When transport, RPC, storage, authentication, sandboxing, plugin execution, model provenance, or another cross-process or cross-peer trust boundary changes, state the architectural security properties explicitly.
  • Call out observable behavior, public API or install-contract changes, migration needs, and expected release or versioning impact when they could affect approval. If an unchanged dimension is likely to concern reviewers, address it in one sentence rather than adding a boilerplate section.
  • Prefer a compact diagram in the Solution when it explains responsibilities, trust boundaries, interactions, or state flow more clearly than prose. Keep prose for the decision and trade-offs, and omit a diagram that would merely repeat them. Link it or use a normal image reference; never embed base64 image data.
  • Move useful API sketches, protocols, failure-mode analysis, rollout notes, test strategy, phase breakdowns, and larger comparisons to an Appendix in the same QIP unless the detail is itself the decision. Omit file-level change lists unless they provide meaningful evidence.
  • Link external artifacts such as PoC PRs, source research, or separately maintained specifications from the Appendix and summarize why they matter; do not copy their full content.
  • Never claim human approval.

Before keeping a paragraph in the core proposal, ask whether it helps a reviewer approve, reject, or reshape the direction. Before requiring more detail, ask whether its absence could materially change the recommendation or make approval irresponsible. Otherwise remove it, move useful supporting detail to the Appendix, or defer it explicitly. Keep the Appendix relevant and organized; use a separate technical document only when the material has an independent lifecycle or is too large for the QIP.

Show full SKILL.md (245 more words)Show less

Consultation

Return a People to consult before posting note for the author, outside the Canvas-ready QIP unless requested otherwise. Name at most three roles or groups, combining related expertise:

  • the owning team lead;
  • Lead / Architect for technical validation;
  • a cross-cutting expert when runtime, transport, storage, security, registry, native builds, or public SDK API is affected.

Final approvers come from the current template; do not treat them as default early-drafting consultees unless the proposal is strategic. Advice is direction plus reasoning, not a vote.

Save and present

For a non-trivial or iterative draft, use the user's path or default to arch/qips/<short-slug>.md in this repository. Save only the approvers table, proposal sections, and optional Appendix; keep consultation in the response.

For a file-based draft, return the path, a brief summary, and the consultation note. Do not paste the QIP unless asked. For a chat-only draft, show the consultation note first and then the Canvas-ready QIP.

After saving, re-read the completed draft against the applicable decision-readiness and decision-brief-quality criteria in qv-qip-review. Fix clear problems with decision clarity, evidence, consistency, scope, organization, and unnecessary detail in place. If a material gap depends on information or a choice only the author can provide, stop and ask rather than inventing it. Treat this as authoring QA, not an independent review or human approval. Then verify the draft's word count, template structure, links, and absence of embedded image data.

If the user asks whether the draft is ready to post, suggest qv-qip-review.

© tetherto, Apache-2.0. 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 2 other files (references) in .agents/skills/qv-qip-create of tetherto/qvac.

  • SKILL.md
  • agents/openai.yaml
  • references/qip-template.md

Open the folder on GitHubat commit f874b3a

Compare with similar skills

Qv Qip Create 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.

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Questions about Qv Qip Create

What does Qv Qip Create do?

Drafts concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs. Qv Qip Create is an agent skill from tetherto/qvac. Drafts concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs.

When should I use Qv Qip Create?

Qv Qip Create fits situations like: shaping a fuzzy proposal after qv-qip-triage; invoking /qv-qip-create.

How do I install Qv Qip Create in Claude Code?

Run `npx skills add tetherto/qvac --skill qv-qip-create -a claude-code`. Or copy the skill folder (.agents/skills/qv-qip-create in tetherto/qvac) into .claude/skills/qv-qip-create in your project. Claude Code loads it when a task matches its description.

How do I install Qv Qip Create in Codex?

Run `npx skills add tetherto/qvac --skill qv-qip-create -a codex`. Or copy the skill folder (.agents/skills/qv-qip-create in tetherto/qvac) into .agents/skills/qv-qip-create in your project. Codex loads it when a task matches its description.

Can I use Qv Qip Create 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 tetherto/qvac --skill qv-qip-create -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qv-qip-create, .gemini/skills/qv-qip-create, .github/skills/qv-qip-create and .opencode/skills/qv-qip-create in your project.

What does Qv Qip Create need to run?

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

Does Qv Qip Create 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 Qv Qip Create 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 Qv Qip Create use?

Qv Qip Create is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qv Qip Create use?

About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 414 tokens, read only when the agent opens those files.

What are the alternatives to Qv Qip Create?

Skills that share tags, products or a category with Qv Qip Create: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qv Qip Create?

tetherto (a GitHub organization) maintains it in tetherto/qvac, which has 683 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 9, 2026.

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