Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Drafts concise, stakeholder-facing QIPs with an explicit architectural decision, alternatives, and trade-offs.
$ npx skills add tetherto/qvac --skill qv-qip-create -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tetherto/qvac qv-qip-create --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "qv-qip-create" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-qip-create into .claude/skills/qv-qip-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-qip-create", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-qip-createType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tetherto/qvac --skill qv-qip-create -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tetherto/qvac qv-qip-create --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/qv-qip-create .agents/skills/qv-qip-create && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qv-qip-create" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-qip-create into .agents/skills/qv-qip-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-qip-create", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tetherto/qvac --skill qv-qip-create -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tetherto/qvac qv-qip-create --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/qv-qip-create .cursor/skills/qv-qip-create && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "qv-qip-create" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-qip-create into .cursor/skills/qv-qip-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-qip-create", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tetherto/qvac.git --path .agents/skills/qv-qip-create--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tetherto/qvac --skill qv-qip-create -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tetherto/qvac qv-qip-create --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/qv-qip-create .gemini/skills/qv-qip-create && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "qv-qip-create" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-qip-create into .gemini/skills/qv-qip-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-qip-create", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tetherto/qvac qv-qip-createInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tetherto/qvac --skill qv-qip-create -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/qv-qip-create .github/skills/qv-qip-create && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "qv-qip-create" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-qip-create into .github/skills/qv-qip-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-qip-create", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tetherto/qvac --skill qv-qip-create -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tetherto/qvac qv-qip-create --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/qv-qip-create .opencode/skills/qv-qip-create && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "qv-qip-create" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-qip-create into .opencode/skills/qv-qip-create/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-qip-create", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
qv-qip-createDrafts 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. 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f874b3a. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from tetherto/qvac at commit f874b3a, republished under its Apache-2.0 licence (© tetherto). 966 words, ~1,742 tokens.
.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.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.
Before drafting:
docs/architecture/PRINCIPLES.md.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.
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:
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.
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.
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:
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.
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
SKILL.md and 2 other files (references) in .agents/skills/qv-qip-create of tetherto/qvac.
Open the folder on GitHubat commit f874b3a
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Qv Qip Create this skilltetherto/qvac | 683 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
tetherto/qvac
Creates a Solutions page in the QVAC documentation website from a real use case, generalizing the case into reusable guidance and registering the page in the site navigation.
tetherto/qvac
Updates the docs website after a change to the SDK or CLI. An agent skill from tetherto/qvac.
tetherto/qvac
Plan and prepare the QVAC agent-stack release cascade across @qvac/inference, @qvac/sdk, @qvac/cli, @qvac/ai-sdk-provider, @qvac/opencode-plugin, and @qvac/openclaw-plugin.
tetherto/qvac
Run the deterministic code-quality audit, turn related findings into contextual remediation groups, prepare approval-gated Asana proposals, reconcile recurring runs, or configure twice-monthly…
tetherto/qvac
Review C++ changes for string parameter and call-site efficiency conventions (std::stringview, std::string&&, const std::string&, const char, and TransparentStringMap lookup).
tetherto/qvac
Generate changelog entries for a target add-on package. An agent skill from tetherto/qvac.
Categories
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.
Qv Qip Create fits situations like: shaping a fuzzy proposal after qv-qip-triage; invoking /qv-qip-create.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Qv Qip Create is instructions for the agent only.
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.
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.
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.
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.
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.
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.