Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
A skill your agent uses for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring docaargpinit → register params → docaargpstart →…
$ npx skills add NVIDIA/skills --skill doca-argp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-argp --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/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doca-argp .claude/skills/doca-argp && 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 "doca-argp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-argp into .claude/skills/doca-argp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-argp", 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/NVIDIA/skills/tree/main/skills/doca-argpType 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 NVIDIA/skills --skill doca-argp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-argp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/doca-argp .agents/skills/doca-argp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "doca-argp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-argp into .agents/skills/doca-argp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-argp", 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 NVIDIA/skills --skill doca-argp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-argp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/doca-argp .cursor/skills/doca-argp && 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 "doca-argp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-argp into .cursor/skills/doca-argp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-argp", 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/NVIDIA/skills.git --path skills/doca-argp--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 NVIDIA/skills --skill doca-argp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-argp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/doca-argp .gemini/skills/doca-argp && 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 "doca-argp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-argp into .gemini/skills/doca-argp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-argp", 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 NVIDIA/skills doca-argpInstalls 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 NVIDIA/skills --skill doca-argp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/doca-argp .github/skills/doca-argp && 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 "doca-argp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-argp into .github/skills/doca-argp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-argp", 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 NVIDIA/skills --skill doca-argp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills doca-argp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/doca-argp .opencode/skills/doca-argp && 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 "doca-argp" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-argp into .opencode/skills/doca-argp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-argp", 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.
doca-argpA skill your agent uses for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring docaargpinit → register params → docaargpstart →…
Doca Argp is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring docaargpinit → register params → docaargpstart → docaargpdestroy in order; picking a parameter type from the full public enum (DOCAARGPTYPESTRING, INT, BOOLEAN, DEVICE, DEVICEREP, DOUBLE — six values, not three); preserving the standard --device / --representor / --json (-j; real flag is --json, NOT --json-config) / --sdk-log-level surface; or debugging DOCAERRORBADSTATE /…
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `SKILLCARD.yaml`). Compatibility notes: Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's…
It sits in Development. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. 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 0e0d506. 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.
Hosts in commands or code, which the agent is likely to contact:
docs.nvidia.comFrom 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.
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-argp` and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
From compatibility in the SKILL.md frontmatter.
Doca Argp loads about 3.2k tokens when it runs. Until then it costs about 245 tokens; SKILL.md has 1,382 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 NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 1,382 words, ~3,192 tokens.
.claude/skills/doca-argp/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Where to start: This skill assumes DOCA is already installed
and the user is doing hands-on CLI work on a DOCA sample or
new DOCA-using app. Open TASKS.md if the user wants
to do something (configure / build / modify / run / test /
debug); open CAPABILITIES.md when the
question is what can the Arg Parser express on this version. If
the user has not installed DOCA yet, route to
doca-setup first. If the user is
about to rewrite a sample's CLI with getopt / argparse /
custom parsing instead of reusing the Arg Parser, read the
load-bearing rule in
CAPABILITIES.md ## Capabilities and modes
before any code change.
The CLASSES of Arg Parser questions this skill is built to answer, each with one worked example. The agent should treat the class as the load-bearing piece — the worked example is a single instance.
--my-flag to
/opt/mellanox/doca/samples/doca_dma/dma_local_copy/ so the
sample still accepts --device <PCI> and --sdk-log-level <level> the same way it did before". Answered by the
reuse-the-Arg-Parser rule in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## modify.doca_argp_param_set_* return BAD_STATE on my
second call?" — worked example: "registering a new param
after doca_argp_start has already parsed argv". Answered by
the lifecycle order in
CAPABILITIES.md ## Capabilities and modesCAPABILITIES.md ## Error taxonomy
for DOCA_ERROR_BAD_STATE../my-config.json so the operator does not have to type out
ten flags every time". Answered by the --json <path>
integration in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## modify and
TASKS.md ## run.--my-flag X value is rejected as INVALID_VALUE — why?" —
worked example: "declared the param as int but passed
--my-flag 0x40". Answered by the parameter-type table in
CAPABILITIES.md ## Capabilities and modesCAPABILITIES.md ## Error taxonomy.doca-argp even on my installed DOCA?" — worked
example: "a colleague's sample mentions doca-argp but I want
to confirm before I depend on it". Answered by the presenceCAPABILITIES.md ## Version compatibility,
which cross-links the canonical detection chain in
doca-version.doca_* symbol". Answered by the
path-selection rule in
CAPABILITIES.md ## Capabilities and modes
Use doca-argp when … / Do not use doca-argp when … bullets.This skill serves external developers building or modifying
DOCA-using applications — i.e., users whose code already calls
doca_* (directly in C/C++, or through FFI/bindings from
another language) and who need the standard DOCA CLI surface so
operators of the resulting binary do not have to relearn how to
invoke each sample. It is not for NVIDIA developers
contributing to the Arg Parser library itself.
Language scope. DOCA Arg Parser ships as a C library with
pkg-config module name doca-argp. The shipped samples are
written in C. C and C++ consumers are the canonical case; the
worked examples in TASKS.md assume that path. Other-language
consumers (Rust, Go, Python, …) consume the same *.so through
FFI or language-specific bindings; the skill's contribution in
that case is to keep the lifecycle, parameter-type, JSON-config,
standard-flag-surface, and error-taxonomy guidance
language-neutral, and to route the agent to the public C ABI as
the authoritative surface that any wrapper will eventually call.
Load this skill when the user is doing hands-on DOCA Arg Parser work, in any language. Concretely:
--device <PCI>, --representor <name>,
--rep-list, --json <path>, --sdk-log-level <level>).doca_argp_init / doca_argp_start /
doca_argp_destroy into a main(), including the
register-before-start lifecycle and the cleanup-on-exit
contract.doca_argp_param (short name, long name, value
callback, description for --help) with a parameter type
drawn from the six-value public enum: string, int, boolean,
device, device representor, or double. A JSON config file is an
input surface for those parameters, not a parameter type.--json <path> flag instead of expanding the command
line.pkg-config --exists doca-argp,
pkg-config --modversion doca-argp) before depending on it.DOCA_ERROR_* returned from a doca_argp_* call
(lifecycle vs. type-mismatch vs. unknown JSON key vs.
unreadable file).Do not load this skill for general DOCA orientation, install
of DOCA itself, or non-Arg-Parser library questions. For those,
use
doca-public-knowledge-map.
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive Arg-Parser-specific material lives in two companion files:
CAPABILITIES.md — what the Arg Parser can express on this
version: the param-registration model, the small set of
public parameter types, the standard DOCA CLI surface every
sample shares, the --json <path> file integration,
the register-before-start lifecycle, the Arg Parser error
taxonomy (mapped onto the cross-library DOCA_ERROR_* set),
the observability surface (the --help output and the
DOCA Log channel), and the safety / path-selection policy
(when reusing doca-argp is mandatory; when a language-native
parser is the right answer).TASKS.md — step-by-step workflows for the six in-scope Arg
Parser verbs: configure, build, modify, run, test,
debug. Plus a Deferred task verbs block that points
out-of-scope questions at the right next skill.The skill assumes a host or BlueField where DOCA is already
installed at the standard location. It does not cover installing
DOCA — that path goes through
doca-setup.
This skill is agent guidance, not a samples or templates bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
*_main.c file in every
shipped DOCA sample at
/opt/mellanox/doca/samples/<library>/<sample>/. The agent's
job is to route the user to that file and prescribe a
minimum-diff modification on it via the universal
modify-a-sample workflow in
doca-programming-guide,
layered with the Arg-Parser-specific overrides in
TASKS.md ## modify.meson.build,
CMakeLists.txt, Cargo.toml, …) parked inside the skill.
The agent constructs the build manifest in the user's
project directory against the user's installed DOCA, where
pkg-config --modversion doca-argp is the source of truth.samples/, bindings/, or reference/ subtree of any
kind. A mock or incomplete artifact in this skill's tree,
even one labeled "reference", is misleading: users will read
it as buildable.SKILL.md first to confirm the user's question is
in scope.--json <path> rule,
the register-before-start lifecycle, error taxonomy,
observability, and the path-selection / safety policy, see
CAPABILITIES.md.Both companion files cross-link to each other,
doca-version for the canonical
version-handling rules, and
doca-public-knowledge-map
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "Arg-Parser-specific
guidance".
doca-public-knowledge-map —
the routing table for every public DOCA documentation source
and the on-disk layout of an installed DOCA package. The Arg
Parser URL is
https://docs.nvidia.com/doca/sdk/DOCA-Arg-Parser/index.html;
the canonical on-disk usage example is any sample's
*_main.c under /opt/mellanox/doca/samples/.doca-setup — env preparation,
install verification, and the I have no install yet path
with the public NGC DOCA container. This skill assumes its
preconditions are satisfied.doca-version — canonical
DOCA version-handling rules. This skill's ## Version compatibility cross-links the four-way match rule and adds
the Arg-Parser-specific presence-check overlay.doca-structured-tools-contract —
the bundle's structured-tools precedence rule (detect / prefer
/ fall back / report). The Command appendix in
TASKS.md honors this contract.doca-programming-guide —
general DOCA programming patterns shared by every library:
the canonical pkg-config + meson build pattern, the
universal modify-a-shipped-sample first-app workflow, the
universal lifecycle, the cross-library DOCA_ERROR_*
taxonomy, and the program-side debug order. This skill layers
Arg-Parser specifics on top.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). Arg-Parser-specific debug (lifecycle
violations, type-mismatch on a registered param, unknown JSON
key) overlays on top of that ladder.© NVIDIA, 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 7 other files in skills/doca-argp of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Argp 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 |
|---|---|---|---|---|---|---|
| Doca Argp this skillNVIDIA/skills | 3.5k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Categories
A skill your agent uses for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring docaargpinit → register params → docaargpstart →…. Doca Argp is an agent skill from NVIDIA/skills, published by the product's own GitHub organization.
Doca Argp fits situations like: hands-on DOCA Arg Parser CLI work on a shipped sample; new DOCA-using app — adding / removing / renaming flags; wiring docaargpinit → register params → docaargpstart → docaargpdestroy in order; picking a parameter type from the full public enum (DOCAARGPTYPESTRING.
Run `npx skills add NVIDIA/skills --skill doca-argp -a claude-code`. Or copy the skill folder (skills/doca-argp in NVIDIA/skills) into .claude/skills/doca-argp in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-argp -a codex`. Or copy the skill folder (skills/doca-argp in NVIDIA/skills) into .agents/skills/doca-argp 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 NVIDIA/skills --skill doca-argp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doca-argp, .gemini/skills/doca-argp, .github/skills/doca-argp and .opencode/skills/doca-argp in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Argp is instructions for the agent only. Compatibility (from SKILL.md): Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-argp` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .
SKILL.md names 1 domain. In commands or code: docs.nvidia.com; the agent is likely to contact it when it follows the instructions. 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.
Doca Argp is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Doca Argp: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.