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.
Agent skill
Alchemy Performance Tuning
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs.
Install Alchemy Performance Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill alchemy-performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace alchemy-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/alchemy-performance-tuning .claude/skills/alchemy-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 "alchemy-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/alchemy-performance-tuning into .claude/skills/alchemy-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alchemy-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/alchemy-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 alchemy-performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace alchemy-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/alchemy-performance-tuning .agents/skills/alchemy-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 "alchemy-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/alchemy-performance-tuning into .agents/skills/alchemy-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alchemy-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 alchemy-performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace alchemy-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/alchemy-performance-tuning .cursor/skills/alchemy-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 "alchemy-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/alchemy-performance-tuning into .cursor/skills/alchemy-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alchemy-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/alchemy-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 alchemy-performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace alchemy-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/alchemy-performance-tuning .gemini/skills/alchemy-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 "alchemy-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/alchemy-performance-tuning into .gemini/skills/alchemy-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alchemy-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 alchemy-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 alchemy-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/alchemy-performance-tuning .github/skills/alchemy-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 "alchemy-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/alchemy-performance-tuning into .github/skills/alchemy-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alchemy-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 alchemy-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 alchemy-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/alchemy-performance-tuning .opencode/skills/alchemy-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 "alchemy-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/alchemy-performance-tuning into .opencode/skills/alchemy-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alchemy-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
alchemy-performance-tuning- GitHub stars
- 2.8k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 508 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs.
- Works in 6 steps: Define endpoint-specific latency,… → Measure an approved baseline by chain,… → Remove duplicate calls, bound… → …
- An integration is slow
- SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Alchemy Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs. Use when an integration is slow or wasteful. Trigger with "optimize Alchemy performance", "cache Alchemy data", or "reduce Alchemy latency".
Its SKILL.md is about 1.2k 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: Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval
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
- An integration is slow
- With optimize Alchemy performance
- Cache Alchemy data
- Reduce Alchemy latency
Example prompts
- “optimize Alchemy performance”
- “cache Alchemy data”
- “reduce Alchemy latency”
- “/alchemy-performance-tuning”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval
- Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Define endpoint-specific latency, completeness, freshness, and cost SLOs plus the user-visible degraded state.
- Measure an approved baseline by chain, method, payload/page size, cache state, and concurrency; record percentiles rather than a single…
- Remove duplicate calls, bound pagination, choose current batch endpoints only where their documented semantics match, and cap concurrency…
- Cache immutable block-scoped data longer than head-sensitive data; include chain, method, normalized parameters, block/finality context…
- Propagate partial failures and staleness metadata through caches; never cache a degraded result as complete success.
- Load-test the proposed envelope, compare against baseline, prove invalidation and rollback, then promote with telemetry and stop thresholds.
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:
ReadGlobGrepWriteEdit
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
No URLs in SKILL.md.
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
Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval
From compatibility in the SKILL.md frontmatter.
Context cost
Alchemy Performance Tuning loads about 1.2k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 508 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). 508 words, ~1,210 tokens.
Download SKILL.mdSave it as
.claude/skills/alchemy-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- alchemy-performance-tuning
- description
- Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs. Use when an integration is slow or wasteful. Trigger with "optimize Alchemy performance", "cache Alchemy data", or "reduce Alchemy latency".
- allowed-tools
- Read, Glob, Grep, Write, Edit
- compatibility
- Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval
- argument-hint
- <endpoint-class> <freshness-slo> <traffic-shape>
- version
- 2.0.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, alchemy, performance, caching
- model
- inherit
- effort
- high
Alchemy Performance and Freshness Tuning
Overview
Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs. This workflow produces a reviewable artifact and negative-path evidence before any live side effect.
Prerequisites
- Current first-party Alchemy documentation for the selected product, chain, feature, client, authentication method, limit, and lifecycle.
- Named product, application, security, data/privacy, budget, release, and operations owners appropriate to the requested scope.
- Synthetic or approved non-production fixtures, a credential canary, explicit success criteria, and a tested rollback boundary.
Current Contract
Performance depends on endpoint family, chain, response size, pagination, account throughput, region, cache state, and application work. There is no universal latency or batch-size guarantee. Optimization must preserve chain context, finality, partial-error semantics, and the product's freshness contract.
Authentication
Telemetry may include key identifiers, wallet addresses, or request metadata; log only approved low-cardinality fields and never credential-bearing URLs or full user payloads.
Instructions
- Define endpoint-specific latency, completeness, freshness, and cost SLOs plus the user-visible degraded state.
- Measure an approved baseline by chain, method, payload/page size, cache state, and concurrency; record percentiles rather than a single average.
- Remove duplicate calls, bound pagination, choose current batch endpoints only where their documented semantics match, and cap concurrency below the shared account budget.
- Cache immutable block-scoped data longer than head-sensitive data; include chain, method, normalized parameters, block/finality context, and schema version in keys.
- Propagate partial failures and staleness metadata through caches; never cache a degraded result as complete success.
- Load-test the proposed envelope, compare against baseline, prove invalidation and rollback, then promote with telemetry and stop thresholds.
Tool Discipline
Use Read, Glob, and Grep to inspect current documentation, configuration, code, fixtures, and evidence. Use Write and Edit only for approved repository artifacts. Skill invocation alone does not authorize network access, credentials, wallet addresses, customer data, plan changes, spend, key creation or rotation, webhook changes, deployment, replay, transaction construction, signing, broadcast, or deletion.
Show full SKILL.md (191 more words)Show less
Approval Boundaries
Product owns freshness and degraded UX; operations owns capacity and stop thresholds; privacy owns cached address data. Increasing spend or retention requires explicit approval.
Error Handling
- Do not optimize by dropping failed networks, pages, or assets without declaring incompleteness.
- Do not cache
latestas though it were immutable; attach an observed block/finality context. - If an optimization worsens tail latency, error rate, freshness, or compute usage beyond threshold, roll it back.
Output
Return the SLOs, segmented baseline, call graph, cache/batch/concurrency design, partial/stale state contract, load results, telemetry, stop thresholds, and rollback receipt. Mark assumptions, observations, source dates, environment-specific behavior, owners, and unresolved gaps explicitly.
Examples
- Cache token metadata by chain and contract while refreshing head-sensitive balances under a shorter product-approved freshness SLO.
- Reject a faster multi-chain result when it hides one network's
partialErrorsand therefore violates completeness semantics.
Validation
Exercise and record expected and observed results for:
- cold cache
- warm cache
- stale invalidation
- multi-page response
- partial failure through cache
- load rollback threshold
Resources
- Current first-party evidence map — recheck dated Alchemy sources before execution.
- Treat observed account, application, network, indexer, chain, or provider behavior as environment-specific evidence, never a universal guarantee.
© 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/alchemy-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
Alchemy 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 |
|---|---|---|---|---|---|---|
| Alchemy Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.2k | 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 Alchemy Performance Tuning
What does Alchemy Performance Tuning do?
Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs. Alchemy Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Tune Alchemy-backed reads with measured latency, cache semantics, batching, concurrency, and freshness SLOs.
When should I use Alchemy Performance Tuning?
Alchemy Performance Tuning fits situations like: an integration is slow; with optimize Alchemy performance; cache Alchemy data; reduce Alchemy latency.
How do I install Alchemy Performance Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill alchemy-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/alchemy-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/alchemy-performance-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Alchemy Performance Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill alchemy-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/alchemy-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/alchemy-performance-tuning in your project. Codex loads it when a task matches its description.
Can I use Alchemy 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 alchemy-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/alchemy-performance-tuning, .gemini/skills/alchemy-performance-tuning, .github/skills/alchemy-performance-tuning and .opencode/skills/alchemy-performance-tuning in your project.
What does Alchemy Performance Tuning need to run?
SKILL.md names no scripts, command-line tools or credentials: Alchemy Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live Alchemy access requires network access, an appropriate credential, account capacity, and explicit approval.
Does Alchemy Performance Tuning access the network?
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.
Is Alchemy 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 Alchemy Performance Tuning use?
Alchemy 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 Alchemy Performance Tuning use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 772 tokens, read only when the agent opens those files.
What are the alternatives to Alchemy Performance Tuning?
Skills that share tags, products or a category with Alchemy 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 Alchemy 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.