Inference Autopilot
rednote-machine-learning/Inference-autopilot
Analyze, benchmark, diagnose, and optimize large-model inference deployments from hardware inventory, model details, workload traces, and latency or throughput SLOs.
A skill your agent uses when planning a KDD project calendar across the venue's two submission cycles per year, including cycle choice, abstract-then-paper deadline pairs a week apart, rebuttal…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills kdd-workflow --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/KDD-Skills/skills/kdd-workflow .claude/skills/kdd-workflow && 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 "kdd-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/KDD-Skills/skills/kdd-workflow into .claude/skills/kdd-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kdd-workflow", 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/brycewang-stanford/Awesome-Journal-Skills/tree/main/KDD-Skills/skills/kdd-workflowType 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 brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills kdd-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/KDD-Skills/skills/kdd-workflow .agents/skills/kdd-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kdd-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/KDD-Skills/skills/kdd-workflow into .agents/skills/kdd-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kdd-workflow", 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 brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills kdd-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/KDD-Skills/skills/kdd-workflow .cursor/skills/kdd-workflow && 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 "kdd-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/KDD-Skills/skills/kdd-workflow into .cursor/skills/kdd-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kdd-workflow", 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/brycewang-stanford/Awesome-Journal-Skills.git --path KDD-Skills/skills/kdd-workflow--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 brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills kdd-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/KDD-Skills/skills/kdd-workflow .gemini/skills/kdd-workflow && 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 "kdd-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/KDD-Skills/skills/kdd-workflow into .gemini/skills/kdd-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kdd-workflow", 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 brycewang-stanford/Awesome-Journal-Skills kdd-workflowInstalls 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 brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/KDD-Skills/skills/kdd-workflow .github/skills/kdd-workflow && 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 "kdd-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/KDD-Skills/skills/kdd-workflow into .github/skills/kdd-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kdd-workflow", 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 brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills kdd-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/KDD-Skills/skills/kdd-workflow .opencode/skills/kdd-workflow && 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 "kdd-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/KDD-Skills/skills/kdd-workflow into .opencode/skills/kdd-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kdd-workflow", 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.
kdd-workflowA skill your agent uses when planning a KDD project calendar across the venue's two submission cycles per year, including cycle choice, abstract-then-paper deadline pairs a week apart, rebuttal…
Kdd Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning a KDD project calendar across the venue's two submission cycles per year, including cycle choice, abstract-then-paper deadline pairs a week apart, rebuttal capacity planning, the Resubmit-to-next-cycle loop, ADS evidence lead times, and ACM e-rights/TAPS camera-ready scheduling for SIGKDD.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Site reliability engineering. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.
Read from SKILL.md and the folder at commit 932eb23. 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 (its code samples are yaml).
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.
Kdd Workflow loads about 1.7k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 746 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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 746 words, ~1,699 tokens.
.claude/skills/kdd-workflow/SKILL.md (or your agent's skills folder).Use this as the project-management layer. KDD's calendar is structurally different from single-deadline ML venues: two cycles per year, each with an abstract deadline about one week before the paper deadline (2026 anchors: Jul 24/Jul 31, 2025 and Feb 1/Feb 8, 2026, AoE), a rebuttal window inside review, and a Resubmit outcome that connects the cycles into a pipeline. Plan the pipeline, not a single date.
KDD is an ACM conference, not a journal: no standing editor, leadership rotates per edition (the KDD 2026 committee roster lives on the conference site; individual names 待核实 before citing), and the cost surface is registration plus, under ACM Open, a possible APC for authors at non-participating institutions — with a temporary 65% ACM subsidy announced for 2026. Verify all money facts against current pages.
| Situation | Choose | Reasoning |
|---|---|---|
| Evidence complete, paper drafted | Nearest cycle | Waiting adds staleness risk in fast subfields |
| Core result solid, ablations/scale runs missing | Next cycle | Rebuttal cannot carry links, so missing evidence has no delivery channel later |
| Prior cycle returned Resubmit | Next cycle, always declared | Addressed resubmissions carry better odds per the CFP; the forum id travels with you |
| ADS paper, launch too recent to measure | Cycle after the measurement window closes | The desk-check needs quantified post-launch numbers, not projections |
kdd-experiments); ADS measurement windows already running.kdd-artifact-evaluation).kdd-submission); ADS deployment
quantification pointed to; resubmission declarations attached.kdd-author-response).kdd-camera-ready); Resubmit → change-summary plan against the review contract;
Reject → routing decision (kdd-topic-selection).# kdd-pipeline.yaml - one paper, tracked across cycles
paper: streamhive
track: research
cycle_history:
- cycle: 2026-C1
outcome: resubmit
contract: # concerns named in reviews = next cycle's spec
- temporal-split rebuild (R2)
- decay-mechanism ablation (R1)
- scale claim beyond 10M edges (R3)
- cycle: 2026-C2
changes_summary_page: drafted # mandatory first page of the PDF
prior_forum_id: declared
new_evidence: [table5_ablation, 2.1B_run, rebuilt_splits]
owners:
profiles_gate: <name> # co-author OpenReview completeness
artifact_freeze: <name>
rebuttal_window: <name, name>The discipline: the review contract is written down the day reviews arrive, and every contract item maps to a change-summary line before the next cycle's abstract deadline.
A team's trajectory that the pipeline model handles cleanly: Cycle 1, the sampling
method goes to Research and draws a Resubmit with three named concerns. Between
cycles, the method also ships inside the company's ranking system. Cycle 2 now offers
a fork: return the Research paper with the contract executed, or wait one more cycle
and submit the deployed system to ADS with a real measurement window. The pipeline
answer: do both, sequenced — Research resubmission in Cycle 2 (the contract items
are done and Resubmit standing decays with staleness), ADS submission the following
cycle once the post-launch window closes. Two papers, two tracks, no dual-submission
conflict, each riding the evidence it actually has (kdd-topic-selection governs the
fork; kdd-related-work governs the overlap declarations between them).
Planning heuristics — replace with your team's observed values after one cycle:
[Pipeline stage] planning / evidence / drafting / submitted-C<k> / rebuttal / decision-branch
[Cycle target] <cycle + abstract/paper dates from current CFP, AoE>
[Critical path] <three tasks that decide readiness>
[Resubmit contract] <items + owners, or N-A>
[Money checks] ACM Open status / APC exposure / registration (待核实 items flagged)
[Owner map] profiles: <who> / artifact: <who> / rebuttal: <who>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in KDD-Skills/skills/kdd-workflow of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Kdd Workflow 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 |
|---|---|---|---|---|---|---|
| Kdd Workflow this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Inference Autopilotrednote-machine-learning/Inference-autopilot | 144 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Executing Distributed System Testsshenli/distributed-system-testing | 231 | — | ~5.1k | Automated safety check: Notes | MIT | |
| Alerting Irmgrafana/skills | 281 | 1 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Slo Implementationwshobson/agents | 40k | 11 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Agentforce D360 Analyzeforcedotcom/sf-skills | 1.1k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 |
rednote-machine-learning/Inference-autopilot
Analyze, benchmark, diagnose, and optimize large-model inference deployments from hardware inventory, model details, workload traces, and latency or throughput SLOs.
shenli/distributed-system-testing
A skill your agent uses when running a previously designed distributed-systems test plan against a real or simulated cluster — driving fault injection, workload, chaos scenarios, linearizability /…
grafana/skills
Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook)…
wshobson/agents
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting.
forcedotcom/sf-skills
Data Cloud 360° view of a single Agentforce session. An agent skill from forcedotcom/sf-skills.
grafana/skills
Write, validate, and optimize PromQL for Prometheus / Grafana Mimir / Grafana Cloud Metrics.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
A skill your agent uses when planning a KDD project calendar across the venue's two submission cycles per year, including cycle choice, abstract-then-paper deadline pairs a week apart, rebuttal…. Kdd Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when planning a KDD project calendar across the venue's two submission cycles per year, including cycle choice, abstract-then-paper deadline pairs a week apart, rebuttal capacity planning, the Resubmit-to-next-cycle loop, ADS evidence lead times, and ACM e-rights/TAPS camera-ready scheduling for SIGKDD.
Kdd Workflow fits situations like: planning a KDD project calendar across the venues two submission cycles per year; including cycle choice; abstract-then-paper deadline pairs a week apart; rebuttal capacity planning.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a claude-code`. Or copy the skill folder (KDD-Skills/skills/kdd-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/kdd-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a codex`. Or copy the skill folder (KDD-Skills/skills/kdd-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/kdd-workflow 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 brycewang-stanford/Awesome-Journal-Skills --skill kdd-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kdd-workflow, .gemini/skills/kdd-workflow, .github/skills/kdd-workflow and .opencode/skills/kdd-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Kdd Workflow is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Kdd Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Kdd Workflow: Inference Autopilot (rednote-machine-learning/Inference-autopilot, 144 stars), Executing Distributed System Tests (shenli/distributed-system-testing, 231 stars), Alerting Irm (grafana/skills, 281 stars) and Slo Implementation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.