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 when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles…
$ npx skills add NVIDIA/skills --skill doca-comch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-comch --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-comch .claude/skills/doca-comch && 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-comch" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-comch into .claude/skills/doca-comch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-comch", 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-comchType 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-comch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-comch --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-comch .agents/skills/doca-comch && 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-comch" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-comch into .agents/skills/doca-comch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-comch", 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-comch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-comch --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-comch .cursor/skills/doca-comch && 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-comch" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-comch into .cursor/skills/doca-comch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-comch", 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-comch--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-comch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-comch --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-comch .gemini/skills/doca-comch && 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-comch" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-comch into .gemini/skills/doca-comch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-comch", 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-comchInstalls 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-comch -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-comch .github/skills/doca-comch && 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-comch" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-comch into .github/skills/doca-comch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-comch", 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-comch -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-comch --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-comch .opencode/skills/doca-comch && 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-comch" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-comch into .opencode/skills/doca-comch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-comch", 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-comchA skill your agent uses when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles…
Doca Comch is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles, choosing slow-path send-task / recv-callback vs fast-path producer / consumer, querying max-msg-size or max-clients capabilities, registering connection callbacks, or debugging DOCAERROR returns from the Comch API. Trigger even when the user does not explicitly mention "DOCA Comch" or "Comm Channel" (renamed in DOCA 2.5) —…
Its SKILL.md is about 3.1k 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) on a host + BlueField pair (the Comch channel runs over the…
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.
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.
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) on a host + BlueField pair (the Comch channel runs over the RoCE/IB protocol, not the TCP/IP stack). Reads the user's local install via `pkg-config doca-comch` (legacy `doca-comm-channel` on installs <2.5) and inspects /opt/mellanox/doca/{lib,include,samples,applications}.
From compatibility in the SKILL.md frontmatter.
Doca Comch loads about 3.1k tokens when it runs. Until then it costs about 251 tokens; SKILL.md has 1,333 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 noted patterns worth knowing about, such as sudo or a known installer.
install profile expects (in particular, sudo on theAutomated 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). 1,333 words, ~3,141 tokens.
.claude/skills/doca-comch/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 Comch work on a BlueField + host
pair with DOCA. 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 Comch express on this version. If the user has not
installed DOCA yet, route to
doca-setup first. If the user is
asking "is Comch even on this DOCA" because the docs they read
mention doca-comm-channel, route to
CAPABILITIES.md ## Version compatibility
for the 2.5 rename.
The CLASSES of Comch 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.
TASKS.md ## configure +
CAPABILITIES.md ## Capabilities and modes
server-vs-client table.CAPABILITIES.md ## Capabilities and modesTASKS.md ## configure
step 4, with the "slow-path vs fast-path" selection rule.doca_comch_cap_get_max_msg_size) in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## modify.doca_comch_server_create returns
DOCA_ERROR_NOT_PERMITTED on a freshly imaged BlueField".
Answered by the representor + permission overlay in
CAPABILITIES.md ## Safety policyTASKS.md ## configure step 1, which
routes representor-side env questions to
doca-setup.doca_comch_producer in DOCA 2.6.0, or do
I still need the old slow-path API?". Answered by the
version-compatibility overlay in
CAPABILITIES.md ## Version compatibility,
which cross-links the canonical detection chain in
doca-version and adds the
Comch-specific 2.5 rename rule.DOCA_ERROR_* from a Comch call mean and
which layer caused it?" — worked example: "DOCA_ERROR_AGAIN
on submitting a doca_comch_task_send via doca_task_submit". Answered by the Comch
overlay on the cross-library taxonomy in
CAPABILITIES.md ## Error taxonomyTASKS.md ## debug that escalates to
doca-debug.This skill serves external developers building applications that
consume the DOCA Comch library — i.e., users whose code calls
doca_comch_* (directly in C/C++, or through FFI/bindings from
another language) to exchange control or data messages between a
host process and a BlueField agent over PCIe. It is not for
NVIDIA developers contributing to DOCA Comch itself.
Language scope. DOCA Comch ships as a C library with
pkg-config module name doca-comch. 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 role-split, lifecycle,
capability-discovery, permission, 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 Comch work, in any language. Concretely:
doca_comch_server on the DPU side or a
doca_comch_client on the host side, on a representor or PCIe
address the host can reach.doca_ctx_start().doca_comch_set_* and
doca_comch_cap_get_* — max message size, max number of
clients (server side), producer / consumer queue sizing.DOCA_ERROR_* returned from a Comch call (lifecycle
vs. permission vs. capability vs. would-block) and the
connection state machine across the host / DPU pair.Do not load this skill for general DOCA orientation, install
of DOCA itself, or non-Comch 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 Comch-specific material lives in two companion files:
CAPABILITIES.md — what Comch can express on this version: the
server vs client role split, the slow-path send-task /
recv-callback surface, the producer / consumer fast-path
surface, the capability-query surface
(doca_comch_cap_get_*), the Comch error taxonomy (mapped onto
the cross-library DOCA_ERROR_* set), the observability surface
(connection state callbacks, task completion callbacks), and
the safety policy that gates representor and permission
decisions.TASKS.md — step-by-step workflows for the six in-scope Comch
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 + BlueField pair where DOCA is already
installed at the standard location and the user has the privileges
their public install profile expects (in particular, sudo on the
DPU side to see the host representor). 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:
/opt/mellanox/doca/samples/doca_comch/<name>/. The
agent's job is to route the user to those files and prescribe a
minimum-diff modification on them via the universal
modify-a-sample workflow in
doca-programming-guide,
layered with the Comch-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-comch 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.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 "Comch-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 Comch URL
slug is DOCA-Comch (DOCA 2.5+), not doca-comm-channel.doca-setup — env preparation,
install verification, representor visibility checks, 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
Comch-specific 2.5 rename 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 Comch specifics on
top.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). Comch-specific debug (lifecycle violations,
representor visibility, slow-path vs fast-path queue-full
symptoms) 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-comch of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Doca Comch 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 Comch this skillNVIDIA/skills | 3.5k | — | ~3.1k | Automated safety check: Notes | 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 when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles…. Doca Comch is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles, choosing slow-path send-task / recv-callback vs fast-path producer / consumer, querying max-msg-size or max-clients capabilities, registering connection callbacks, or debugging DOCAERROR returns from the Comch API.
Doca Comch fits situations like: the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging; picking server (DPU) vs client (host) roles; choosing slow-path send-task / recv-callback vs fast-path producer / consumer; querying max-msg-size.
Run `npx skills add NVIDIA/skills --skill doca-comch -a claude-code`. Or copy the skill folder (skills/doca-comch in NVIDIA/skills) into .claude/skills/doca-comch in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-comch -a codex`. Or copy the skill folder (skills/doca-comch in NVIDIA/skills) into .agents/skills/doca-comch 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-comch -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-comch, .gemini/skills/doca-comch, .github/skills/doca-comch and .opencode/skills/doca-comch in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Comch 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) on a host + BlueField pair (the Comch channel runs over the RoCE/IB protocol, not the TCP/IP stack). Reads the user's local install via `pkg-config doca-comch` (legacy `doca-comm-channel` on installs <2.5) and inspects /opt/mellanox/doca/{lib,include,samples,applications}. .
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 notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Doca Comch 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 3.1k 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 Comch: 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.