AI News Radar
LearnPrompt/ai-news-radar
A skill your agent uses when working on AI News Radar, 24 小时 AI 更新雷达, AI 更新雷达, 伯乐Skill, or Scout Skill: finding high-signal AI/tech sources, adding RSS/OPML/GitHub feeds, checking source health…
Use BEFORE running a full CompileIQ search. An agent skill from NVIDIA/CompileIQ.
$ npx skills add NVIDIA/CompileIQ --skill compileiq-booster-pack -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-booster-pack --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-booster-pack .claude/skills/compileiq-booster-pack && 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-booster-pack" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-booster-pack into .claude/skills/compileiq-booster-pack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-booster-pack", 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-booster-packType 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-booster-pack -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-booster-pack --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-booster-pack .agents/skills/compileiq-booster-pack && 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-booster-pack" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-booster-pack into .agents/skills/compileiq-booster-pack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-booster-pack", 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-booster-pack -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-booster-pack --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-booster-pack .cursor/skills/compileiq-booster-pack && 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-booster-pack" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-booster-pack into .cursor/skills/compileiq-booster-pack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-booster-pack", 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-booster-pack--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-booster-pack -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/CompileIQ compileiq-booster-pack --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-booster-pack .gemini/skills/compileiq-booster-pack && 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-booster-pack" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-booster-pack into .gemini/skills/compileiq-booster-pack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-booster-pack", 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-booster-packInstalls 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-booster-pack -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-booster-pack .github/skills/compileiq-booster-pack && 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-booster-pack" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-booster-pack into .github/skills/compileiq-booster-pack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-booster-pack", 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-booster-pack -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-booster-pack --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-booster-pack .opencode/skills/compileiq-booster-pack && 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-booster-pack" agent skill from https://github.com/NVIDIA/CompileIQ/tree/main/agent-skills/compileiq-booster-pack into .opencode/skills/compileiq-booster-pack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "compileiq-booster-pack", 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-booster-packUse BEFORE running a full CompileIQ search. An agent skill from NVIDIA/CompileIQ.
Compileiq Booster Pack is an agent skill from NVIDIA/CompileIQ, published by the product's own GitHub organization. Use BEFORE running a full CompileIQ search. Walks through downloading a Booster Pack from NVIDIA/CompileIQ GitHub Releases, applying ACF candidates one at a time to the user's compiler (raw PTXAS, NVCC, Triton, Helion, FlashInfer), and keeping only candidates that compile, pass correctness, and beat the no-ACF baseline. Includes the mandatory Debug-pack O0/O3 ACF-injection canary that proves the ACF is reaching PTXAS. Triggers on "booster pack", "ACF", "apply-controls", "speed up without searching", "helion fp8"…
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/apply_one_acf.sh`).
It sits in DevOps & Cloud, covering Deployment. It works with NVIDIA AI Platform and GitHub. 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:
pythonghbashFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, 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 Booster Pack loads about 2.1k tokens when it runs. Until then it costs about 146 tokens; SKILL.md has 686 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.
allowed-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). 686 words, ~2,079 tokens.
.claude/skills/compileiq-booster-pack/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Try curated .acf candidates before running a full CompileIQ search.
A Booster Pack is a zip of ACFs that NVIDIA validated against a specific
workload family. They are not guaranteed speedups; treat every candidate
as workload-specific and validate it on your own benchmark.
Authoritative narrative: docs/booster_packs.md, docs/flashinfer_booster.md.
| If this is true | Use this path |
|---|---|
| Workload is close to a Booster Pack's intended workload, compiler, GPU, and validation context. | Try the Booster Pack first. |
| Workload differs materially or no pack candidate helps. | Run a full CompileIQ search (compileiq-run-search). |
| Baseline, correctness check, compiler path, or benchmark setup are not in place. | Wait. Fix those before applying any ACF. |
| Pack | Workloads it was validated against | Notes |
|---|---|---|
booster-pack-helion.zip | Helion FP8 Quantization, Causal Depthwise Convolution, Gated DeltaNet Forward | Has shown benefit on FlashInfer BatchDecodeWithPagedKVCacheWrapper; related attention workloads worth testing. |
booster-pack-debug.zip | Diagnostic ACFs (O0, O3, others that disable or alter selected optimizations) | Not for speed; for debugging. Use the O0/O3 canary below before trusting any other pack. |
The public release shape is documented in docs/booster_packs.md. Read each
candidate's compiler_stages from its pack manifest and use every listed stage.
There is no runtime download API today. Don't invent one.
The most common silent failure when applying ACFs is a framework cache (Triton,
Helion, FlashInfer's flashinfer_cubin/flashinfer_jit_cache, NVCC build
cache) serving a stale binary that ignored the ACF. The Debug pack has two
ACFs with predictable, opposite-direction signatures:
ptxas_opt0.acf: forces unoptimized PTXAS compilation. Applied → expect a measurable
regression (often 2-10x slower) vs. baseline.ptxas_opt3.acf: forces the default PTXAS optimization level. Applied → expect to
match baseline (the no-ACF default is already -O3).# Baseline
T_BASE_MS=$(./run-benchmark.sh)
# O0 must regress
PTXAS_OPTIONS="--apply-controls=booster-pack-debug/ptxas_opt0.acf" T_O0_MS=$(./run-benchmark.sh)
# O3 must match baseline
PTXAS_OPTIONS="--apply-controls=booster-pack-debug/ptxas_opt3.acf" T_O3_MS=$(./run-benchmark.sh)
python -c "
import sys
base, o0, o3 = $T_BASE_MS, $T_O0_MS, $T_O3_MS
if o0 < base * 1.05:
print('FAIL: O0 did not regress; ACF is NOT reaching PTXAS. Fix the cache-bust.')
sys.exit(1)
if abs(o3 - base) / base > 0.05:
print(f'WARN: O3 differs from baseline by >5%; baseline may not be -O3 or framework caching differs.')
print('PASS: ACF injection is wired up correctly.')
"If this fails, stop. Fix the cache-bust before trying any real pack candidate:
export TRITON_ALWAYS_COMPILE=1, unique TRITON_CACHE_DIR per eval.export HELION_SKIP_CACHE=1.flashinfer_cubin and flashinfer_jit_cache packages are absent (docs/flashinfer_booster.md:56-64).Browse https://github.com/NVIDIA/CompileIQ/releases, find the latest tag
matching booster-packs-*, and download the relevant pack zip plus the
top-level booster-pack-catalog.json.
BOOSTER_TAG="$(gh release list -R NVIDIA/CompileIQ --limit 100 --json tagName,isDraft \
--jq '.[] | select(.isDraft == false) | select(.tagName | startswith("booster-packs-")) | .tagName' \
| head -n 1)"
echo "Using $BOOSTER_TAG"
gh release download "$BOOSTER_TAG" -R NVIDIA/CompileIQ -p 'booster-pack-helion.zip' -p 'booster-pack-catalog.json' -D ./packs
unzip ./packs/booster-pack-helion.zip -d ./packs
cat ./packs/booster-pack-helion/booster-pack-manifest.jsonAlways read the per-pack manifest before applying: it lists the intended
workload, compiler version, GPU target, validation context, and known caveats.
For a reproducible rerun, set BOOSTER_TAG to the exact tag printed above.
| Target | Injection |
|---|---|
| Raw PTXAS | ptxas -v -arch=sm_100 --apply-controls candidate.acf kernel.ptx |
| NVCC (CUDA source) | nvcc -Xptxas --apply-controls=candidate.acf -arch=sm_100 kernel.cu -o exe |
| Triton | PTXAS_OPTIONS="--apply-controls=candidate.acf" TRITON_ALWAYS_COMPILE=1 python bench.py |
| Helion | Helion's official ACF API + HELION_SKIP_CACHE=1 (see helionlang.com/examples/acfs/softmax_acf.html). |
| FlashInfer | FLASHINFER_EXTRA_CUDAFLAGS="--ptxas-options=--apply-controls=$ACF_FILE" python bench.py (see docs/flashinfer_booster.md:107). |
Apply exactly one ACF per run. If it fails to compile, hangs, crashes, returns wrong answers, or regresses, reject that candidate and move to the next.
For every candidate you accept or reject, append a row to
booster-pack-log.csv with:
nvcc and ptxas paths + versionsKEPT or REJECTED:<reason>This is the same checklist docs/flashinfer_booster.md:135-148 recommends.
The scripts/apply_one_acf.sh helper does most of this automatically.
bash scripts/apply_one_acf.sh --self-testDry-runs a "baseline vs baseline" comparison (no ACF applied to either side) and confirms the helper correctly reports "NOT a real improvement". Catches misconfigured script invocations before they pollute the reproducibility log.
docs/booster_packs.md:34); test before assuming.PtxasSearchSpace(...); packs are already-generated .acf
candidate bundles, not inputs to PtxasSearchSpace or NvccSearchSpace.compileiq-run-search for a
full CompileIQ search over PtxasSearchSpace().compileiq-search-space (variant="att").© 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-booster-pack of NVIDIA/CompileIQ.
Open the folder on GitHubat commit 743aca4
Compileiq Booster Pack 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 Booster Pack this skillNVIDIA/CompileIQ | 137 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| AI News RadarLearnPrompt/ai-news-radar | 1.8k | — | ~2.5k | Automated safety check: Notes | MIT | |
| Reflexo ReleaseMyriad-Dreamin/typst.ts | 1.2k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Use Vercel Actionamondnet/vercel-action | 764 | — | ~2.7k | Automated safety check: Pass | MIT | |
| 1panel App Builderarch3rPro/1Panel-Appstore | 213 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Prepare Cloudflare Production DeploymentLubomirGeorgiev/cloudflare-workers-nextjs-saas-template | 786 | — | ~5.9k | Automated safety check: Notes | MIT |
LearnPrompt/ai-news-radar
A skill your agent uses when working on AI News Radar, 24 小时 AI 更新雷达, AI 更新雷达, 伯乐Skill, or Scout Skill: finding high-signal AI/tech sources, adding RSS/OPML/GitHub feeds, checking source health…
Myriad-Dreamin/typst.ts
Guide Reflexo/typst.ts release preparation and operator handoffs.
amondnet/vercel-action
Wire amondnet/vercel-action into a GitHub Actions workflow to deploy Vercel projects from CI.
arch3rPro/1Panel-Appstore
A skill your agent uses when packaging Docker deployments as 1Panel local app store apps, including GitHub projects, docker-compose.yml files, docker run commands, app metadata, version directories…
LubomirGeorgiev/cloudflare-workers-nextjs-saas-template
Source-of-truth runbook for preparing this Vinext Cloudflare Workers SaaS template for production deployment.
besimple-oss/broccoli
Deploy this repository to a new Google Cloud project using the repo's existing Cloud Run, Cloud Run Jobs, Cloud SQL, Secret Manager, and Artifact Registry scripts.
NVIDIA/CompileIQ
A skill your agent uses when starting a fresh CompileIQ project, hitting a socket timeout, or before running any other compileiq- skill.
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
Use BEFORE running a full CompileIQ search. An agent skill from NVIDIA/CompileIQ. Compileiq Booster Pack is an agent skill from NVIDIA/CompileIQ, published by the product's own GitHub organization. Use BEFORE running a full CompileIQ search.
Compileiq Booster Pack fits situations like: speed up without searching; flashinfer batch decode.
Run `npx skills add NVIDIA/CompileIQ --skill compileiq-booster-pack -a claude-code`. Or copy the skill folder (agent-skills/compileiq-booster-pack in NVIDIA/CompileIQ) into .claude/skills/compileiq-booster-pack in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/CompileIQ --skill compileiq-booster-pack -a codex`. Or copy the skill folder (agent-skills/compileiq-booster-pack in NVIDIA/CompileIQ) into .agents/skills/compileiq-booster-pack 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-booster-pack -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-booster-pack, .gemini/skills/compileiq-booster-pack, .github/skills/compileiq-booster-pack and .opencode/skills/compileiq-booster-pack in your project.
Going by SKILL.md and its folder, Compileiq Booster Pack needs a shell for the scripts in its folder and the command-line tools its instructions call (python, gh 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 gh, 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 (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 Booster Pack 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 2.1k tokens (SKILL.md is roughly 8.3k 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 Booster Pack: AI News Radar (LearnPrompt/ai-news-radar, 1.8k stars), Reflexo Release (Myriad-Dreamin/typst.ts, 1.2k stars), Use Vercel Action (amondnet/vercel-action, 764 stars) and 1panel App Builder (arch3rPro/1Panel-Appstore, 213 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.