Deepstream Dev
NVIDIA/skills
NVIDIA DeepStream SDK development with Python pyservicemaker API.
A skill your agent uses when starting a fresh CompileIQ project, hitting a socket timeout, or before running any other compileiq- skill.
$ npx skills add NVIDIA/CompileIQ --skill compileiq-bootstrap -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-bootstrap --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/CompileIQ.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-skills/compileiq-bootstrap .claude/skills/compileiq-bootstrap && 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 "compileiq-bootstrap" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-bootstrap into .claude/skills/compileiq-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-bootstrap", 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/CompileIQ/tree/main/agent-skills/compileiq-bootstrapType 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/CompileIQ --skill compileiq-bootstrap -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-bootstrap --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/CompileIQ.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent-skills/compileiq-bootstrap .agents/skills/compileiq-bootstrap && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "compileiq-bootstrap" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-bootstrap into .agents/skills/compileiq-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-bootstrap", 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/CompileIQ --skill compileiq-bootstrap -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-bootstrap --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/CompileIQ.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent-skills/compileiq-bootstrap .cursor/skills/compileiq-bootstrap && 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 "compileiq-bootstrap" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-bootstrap into .cursor/skills/compileiq-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-bootstrap", 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/CompileIQ.git --path agent-skills/compileiq-bootstrap--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/CompileIQ --skill compileiq-bootstrap -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-bootstrap --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/CompileIQ.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent-skills/compileiq-bootstrap .gemini/skills/compileiq-bootstrap && 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 "compileiq-bootstrap" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-bootstrap into .gemini/skills/compileiq-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-bootstrap", 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/CompileIQ compileiq-bootstrapInstalls 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/CompileIQ --skill compileiq-bootstrap -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/CompileIQ.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent-skills/compileiq-bootstrap .github/skills/compileiq-bootstrap && 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 "compileiq-bootstrap" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-bootstrap into .github/skills/compileiq-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-bootstrap", 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/CompileIQ --skill compileiq-bootstrap -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/CompileIQ compileiq-bootstrap --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/CompileIQ.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent-skills/compileiq-bootstrap .opencode/skills/compileiq-bootstrap && 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 "compileiq-bootstrap" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-bootstrap into .opencode/skills/compileiq-bootstrap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-bootstrap", 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.
compileiq-bootstrapA skill your agent uses when starting a fresh CompileIQ project, hitting a socket timeout, or before running any other compileiq- skill.
Compileiq Bootstrap is an agent skill from NVIDIA/CompileIQ, published by the product's own GitHub organization. Use when starting a fresh CompileIQ project, hitting a socket timeout, or before running any other compileiq- skill. Verifies CUDA 13.3+, ptxas, GPU access, that from compileiq.ciq import Search and friends resolve, and that PtxasSearchSpace().retrieve() returns a real path. Documents the env vars that control timeouts, caching, and search-space mirroring. Triggers on "set up compileiq", "compileiq doesn't work", "socket timeout", "where do search spaces come from", "air-gapped compileiq".
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/check_env.sh`).
It sits in Backend & APIs, covering Caching. It works with CUDA and NVIDIA AI Platform. The repository describes itself as: An Optimizer for Nvidia Compilers. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 743aca4. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadFrom allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
pythonpipbashFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
Compileiq Bootstrap loads about 1.3k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 447 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.
installs require sudo and break in containers and on shared clusters. Ifallowed-tools: Bash, ReadAutomated 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); the scripts in this folder are not scanned.
The full file from NVIDIA/CompileIQ at commit 743aca4, republished under its Apache-2.0 licence (© NVIDIA). 447 words, ~1,339 tokens.
.claude/skills/compileiq-bootstrap/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Validate that a host can run CompileIQ. No installation of system libraries (that's distro-specific and out of scope). No state files. Just a checklist that either passes or prints the precise next fix.
Search().start() hangs on the first evaluation.compileiq wheel, or the Python venv.CompileIQ's --apply-controls mechanism requires CUDA 13.3 or later
(see examples/compilers/nvbench_example/optimize_reduction.py:302).
nvcc --version | grep -E "release (1[3-9]|[2-9][0-9])\.[3-9]"
ptxas --version | grep -E "V(1[3-9]|[2-9][0-9])\.[3-9]"If either command exits non-zero, install or upgrade the CUDA toolkit and put
/usr/local/cuda/bin on PATH and /usr/local/cuda/lib64 on
LD_LIBRARY_PATH.
nvidia-smi --query-gpu=name,compute_cap --format=csvCompileIQ targets compute capability 9.0 (Hopper / H100) and 10.0 (Blackwell / B200) most aggressively, but works on any GPU PTXAS supports for the chosen arch.
One shot that covers everything callers will need:
python -c "
from compileiq.ciq import Search
from compileiq.types import INVALID_SCORE, BASELINE_CONFIG, WorkerTypes, ProblemType, SearchConfiguration
from compileiq.search_spaces.compilers import PtxasSearchSpace, NvccSearchSpace, LocalSearchSpaceBin
from compileiq.utils.helpers import save_compiler_config, load_compiler_config
from compileiq.worker import MultiProcessWorker, IsoMultiProcessWorker, RayWorker, AsyncWorker
print('imports OK')
"If this fails, run pip install compileiq (or pip install -e . from a
source checkout) and re-run.
This catches network or air-gapped issues that otherwise surface as socket-timeout hangs deep inside the first evaluation:
python -c "
from compileiq.search_spaces.compilers import PtxasSearchSpace
p = PtxasSearchSpace().retrieve()
assert p.exists() and p.stat().st_size > 0, p
print(f'resolved: {p}')
"The first run downloads from GitHub releases and caches under
~/.cache/compileiq/<tag>/. Subsequent runs hit the cache.
| Variable | Default | What it controls |
|---|---|---|
CIQ_SOCKET_TIMEOUT | 20 | Seconds to wait on IPC with the core. Raise to 60-120 for large search spaces; raise much higher if you regularly see a hang on the first evaluation. |
CIQ_KEEP_CACHE | unset (0) | Set to 1/true/yes to keep .cache files after a run for post-mortem replay. |
CIQ_PROCESS_MODE | forkserver | forkserver, fork, or spawn. Switch to spawn if forkserver fails on a constrained host. IsoMultiProcessWorker defaults to fork regardless. |
CIQ_SEARCH_SPACES_DIR | unset | Path to a local mirror containing manifest.json plus the referenced .bin files. Set this on air-gapped hosts to skip network. |
CIQ_SEARCH_SPACES_REPO | NVIDIA/CompileIQ | Override the GitHub repo that release-backed search-space resolution queries. Useful for staging or forks. |
CIQ_SS_TAG_PREFIX | search-spaces- | Tag prefix the resolver uses when tag="latest". Rarely needs changing. |
bash scripts/check_env.shExits 0 if every step passes. Exits with a non-zero count of failures and prints, for each failure, the precise command the user should run next.
CIQ_SOCKET_TIMEOUT=120 and retry.CIQ_SEARCH_SPACES_DIR=/path/to/mirror.CIQ_PROCESS_MODE=spawn.nvcc, ptxas, or a Python interpreter is missing, surface the error
and let the user decide how to install.compileiq-search-space (variant="att" by default).compileiq-booster-pack.compileiq-author-objective.© 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 1 other file (scripts) in agent-skills/compileiq-bootstrap of NVIDIA/CompileIQ.
Open the folder on GitHubat commit 743aca4
Compileiq Bootstrap 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 |
|---|---|---|---|---|---|---|
| Compileiq Bootstrap this skillNVIDIA/CompileIQ | 137 | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | |
| Deepstream DevNVIDIA/skills | 3.5k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Cuopt Server API PythonNVIDIA/skills | 3.5k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Refactor OpCVCUDA/CV-CUDA | 2.7k | — | ~1.5k | Automated safety check: Pass | Custom licence | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| LLM Torch Profiler Trace AnalysisBBuf/AI-Infra-Auto-Driven-SKILLS | 900 | — | ~2.8k | Automated safety check: Pass | None |
NVIDIA/skills
NVIDIA DeepStream SDK development with Python pyservicemaker API.
NVIDIA/skills
cuOpt REST server — start server, endpoints, Python/curl client examples.
CVCUDA/CV-CUDA
Find and safely apply per-operator refactoring / redundancy-reduction opportunities in a CV-CUDA operator (near-duplicate Tensor/VarShape kernels, reinvented shared utilities, dead code).
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
BBuf/AI-Infra-Auto-Driven-SKILLS
Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables.
CVCUDA/CV-CUDA
Drive a single-operator optimization campaign per .agents/guidance/OPTIMIZATIONGUIDELINES.md, with a deterministically enforced definition-of-done and versioned MR summary.
NVIDIA/CompileIQ
Use BEFORE running a full CompileIQ search. An agent skill from NVIDIA/CompileIQ.
NVIDIA/CompileIQ
A skill your agent uses when something is wrong: Search() hangs, all evaluations return INVALIDSCORE, scores aren't improving, every config returns the same number, ptxas errors fill the log, CV% is…
NVIDIA/CompileIQ
A skill your agent uses when composing the Search(...) call and calling .start().
NVIDIA/CompileIQ
Use AFTER a Search has completed and BEFORE claiming any speedup or shipping an ACF.
NVIDIA/CompileIQ
A skill your agent uses when writing the objectivefunction= passed to Search().
NVIDIA/CompileIQ
A skill your agent uses when picking the searchspace= argument for Search().
Works with
Categories
A skill your agent uses when starting a fresh CompileIQ project, hitting a socket timeout, or before running any other compileiq- skill. Compileiq Bootstrap is an agent skill from NVIDIA/CompileIQ, published by the product's own GitHub organization. Use when starting a fresh CompileIQ project, hitting a socket timeout, or before running any other compileiq- skill.
Compileiq Bootstrap fits situations like: starting a fresh CompileIQ project; hitting a socket timeout; before running any other compileiq- skill; set up compileiq.
Run `npx skills add NVIDIA/CompileIQ --skill compileiq-bootstrap -a claude-code`. Or copy the skill folder (agent-skills/compileiq-bootstrap in NVIDIA/CompileIQ) into .claude/skills/compileiq-bootstrap in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/CompileIQ --skill compileiq-bootstrap -a codex`. Or copy the skill folder (agent-skills/compileiq-bootstrap in NVIDIA/CompileIQ) into .agents/skills/compileiq-bootstrap 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/CompileIQ --skill compileiq-bootstrap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/compileiq-bootstrap, .gemini/skills/compileiq-bootstrap, .github/skills/compileiq-bootstrap and .opencode/skills/compileiq-bootstrap in your project.
Going by SKILL.md and its folder, Compileiq Bootstrap needs a shell for the scripts in its folder and the command-line tools its instructions call (python, pip and bash). Our summary lists: Python 3; A Bash shell. Its frontmatter pre-approves these tools: Bash, Read.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Compileiq Bootstrap 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 1.3k tokens (SKILL.md is roughly 5.4k 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 Compileiq Bootstrap: Deepstream Dev (NVIDIA/skills, 3.5k stars), Cuopt Server API Python (NVIDIA/skills, 3.5k stars), Refactor Op (CVCUDA/CV-CUDA, 2.7k stars) and Graphsignal (graphsignal/graphsignal, 257 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/CompileIQ, which has 137 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 23, 2026.
Source: NVIDIA/CompileIQ on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.