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.
Optimize Clari integration latency without violating concurrency, quota, correctness, or duplicate-work controls.
Install Clari Performance Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace clari-performance-tuning --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/clari-performance-tuning .claude/skills/clari-performance-tuning && 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 "clari-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/clari-performance-tuning into .claude/skills/clari-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clari-performance-tuning", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/clari-performance-tuningType 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 jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace clari-performance-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/clari-performance-tuning .agents/skills/clari-performance-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "clari-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/clari-performance-tuning into .agents/skills/clari-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clari-performance-tuning", 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 jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace clari-performance-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/clari-performance-tuning .cursor/skills/clari-performance-tuning && 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 "clari-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/clari-performance-tuning into .cursor/skills/clari-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clari-performance-tuning", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/clari-performance-tuning--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 jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace clari-performance-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/clari-performance-tuning .gemini/skills/clari-performance-tuning && 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 "clari-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/clari-performance-tuning into .gemini/skills/clari-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clari-performance-tuning", 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 jeremylongshore/tons-of-skills-marketplace clari-performance-tuningInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/clari-performance-tuning .github/skills/clari-performance-tuning && 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 "clari-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/clari-performance-tuning into .github/skills/clari-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clari-performance-tuning", 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 jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace clari-performance-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/clari-performance-tuning .opencode/skills/clari-performance-tuning && 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 "clari-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/clari-performance-tuning into .opencode/skills/clari-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clari-performance-tuning", 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.
Facts
- Skill name
clari-performance-tuning- GitHub stars
- 2.8k
- Token cost
- ~1k tokens
- SKILL.md length
- 396 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimize Clari integration latency without violating concurrency, quota, correctness, or duplicate-work controls.
- Works in 6 steps: Build the latency budget → Locate the bottleneck → Reduce unnecessary work → …
- Copilot extraction miss an SLO
- SKILL.md covers Overview, Prerequisites, Instructions and Authentication, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Clari Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Clari integration latency without violating concurrency, quota, correctness, or duplicate-work controls. Use when exports or Copilot extraction miss an SLO. Trigger with: "speed up Clari exports", "tune Clari polling", "reduce Clari pipeline latency".
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires timing telemetry by stage, provider capacity evidence, representative workloads, and a rollbackable tuning boundary.
It sits in DevOps & Cloud, covering Site reliability engineering. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Copilot extraction miss an SLO
- With: speed up Clari exports
- Tune Clari polling
- Reduce Clari pipeline latency
Example prompts
- “speed up Clari exports”
- “tune Clari polling”
- “reduce Clari pipeline latency”
- “/clari-performance-tuning”
Requirements
- Compatibility (from SKILL.md): Requires timing telemetry by stage, provider capacity evidence, representative workloads, and a rollbackable tuning boundary.
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
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.
Network
Links to these hosts (documentation or services it may open):
developer.clari.comapi-doc.copilot.clari.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires timing telemetry by stage, provider capacity evidence, representative workloads, and a rollbackable tuning boundary.
From compatibility in the SKILL.md frontmatter.
Context cost
Clari Performance Tuning loads about 1k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 396 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 396 words, ~1,001 tokens.
Download SKILL.mdSave it as
.claude/skills/clari-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- clari-performance-tuning
- description
- Optimize Clari integration latency without violating concurrency, quota, correctness, or duplicate-work controls. Use when exports or Copilot extraction miss an SLO. Trigger with: "speed up Clari exports", "tune Clari polling", "reduce Clari pipeline latency".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires timing telemetry by stage, provider capacity evidence, representative workloads, and a rollbackable tuning boundary.
- version
- 2.0.0
- argument-hint
- [surface-workload-baseline-and-slo]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, clari, performance, throughput, latency
Clari Pipeline Throughput Tuning
Overview
Tune from measured stage latency instead of increasing concurrency blindly. Provider queue time, polling, result transfer, parsing, reconciliation, and destination load are separate bottlenecks with different safe remedies.
Prerequisites
- Baseline p50, p95, and failure rate for each pipeline stage
- Request sizes, selected fields, periods, pages, and destination load profile
- Current organization limits and Copilot ceilings
Instructions
Step 1: Build the latency budget
Split the service-level objective across queue admission, provider execution, polling, transfer, validation, and publication.
Step 2: Locate the bottleneck
Correlate provider job timing, response size, page count, local CPU and memory, warehouse load, and retry delay.
Step 3: Reduce unnecessary work
Narrow forecast data types, history, scope, Copilot details, and rerun windows while preserving the approved analytical contract.
Step 4: Tune polling and paging
Use state-aware backoff, durable cursors, bounded page sizes, and streaming validation; do not poll faster than useful state changes.
Step 5: Use concurrency within evidence
Increase independent reads or transforms only inside reported provider and destination headroom, retaining a recovery slot.
Step 6: Canary and compare
Run the candidate against the same representative workload, compare correctness and cost signals, and roll back if either regresses.
Authentication
Performance telemetry must omit credentials and sensitive payloads. Never duplicate tokens across workers to evade organization or workspace limits.
Show full SKILL.md (180 more words)Show less
Tool Discipline
Use Read and Grep to inspect configuration, provider contracts, fixtures, logs, schemas, and existing tests before proposing a change. Use Write or Edit only for the approved plan, implementation, test, or redacted receipt; do not issue, rotate, revoke, create, update, cancel, delete, export, ingest, or publish provider data without explicit operator approval.
Output
- Stage-level latency profile and identified bottleneck
- Tuning change with provider-capacity rationale
- Before/after correctness, latency, quota, and rollback results
Return the exact surface, environment, resource or job identifiers, contract fingerprint, evidence, unresolved risks, and final decision without exposing credentials or sensitive customer data.
Examples
Profiling shows warehouse parsing—not provider export time—dominates latency. The team streams validation and batches warehouse writes while leaving Clari concurrency unchanged.
Error Handling
| Failure | Response |
|---|---|
| Latency improves but rows diverge | Reject the tuning and restore the verified transform or publication path. |
| Concurrency causes 429 responses | Reduce admission, preserve checkpoints, and remeasure within documented capacity. |
| Result size exhausts memory | Stream or chunk local processing without altering provider semantics or dropping validation. |
Resources
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/clari-performance-tuning of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Clari Performance Tuning 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 |
|---|---|---|---|---|---|---|
| Clari Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1k | 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 | 282 | 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 |
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Categories
Questions about Clari Performance Tuning
What does Clari Performance Tuning do?
Optimize Clari integration latency without violating concurrency, quota, correctness, or duplicate-work controls. Clari Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Clari integration latency without violating concurrency, quota, correctness, or duplicate-work controls.
When should I use Clari Performance Tuning?
Clari Performance Tuning fits situations like: copilot extraction miss an SLO; with: speed up Clari exports; tune Clari polling; reduce Clari pipeline latency.
How do I install Clari Performance Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/clari-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/clari-performance-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Clari Performance Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/clari-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/clari-performance-tuning in your project. Codex loads it when a task matches its description.
Can I use Clari Performance Tuning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill clari-performance-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clari-performance-tuning, .gemini/skills/clari-performance-tuning, .github/skills/clari-performance-tuning and .opencode/skills/clari-performance-tuning in your project.
What does Clari Performance Tuning need to run?
SKILL.md names no scripts, command-line tools or credentials: Clari Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires timing telemetry by stage, provider capacity evidence, representative workloads, and a rollbackable tuning boundary..
Does Clari Performance Tuning access the network?
SKILL.md names 2 domains. As links in the text: developer.clari.com and api-doc.copilot.clari.com. This is read from the text; nothing was executed.
Is Clari Performance Tuning safe to install?
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.
What licence does Clari Performance Tuning use?
Clari Performance Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Clari Performance Tuning use?
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 474 tokens, read only when the agent opens those files.
What are the alternatives to Clari Performance Tuning?
Skills that share tags, products or a category with Clari Performance Tuning: Inference Autopilot (rednote-machine-learning/Inference-autopilot, 144 stars), Executing Distributed System Tests (shenli/distributed-system-testing, 231 stars), Alerting Irm (grafana/skills, 282 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.
Who maintains Clari Performance Tuning?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.