Agent skill

Mindtickle Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Diagnose and improve a Mindtickle integration with measured latency, backlog, freshness, and reconciliation evidence.

MITAuto-check passedBusiness, Finance & HR

Install Mindtickle Performance Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill mindtickle-performance-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace mindtickle-performance-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/mindtickle-performance-tuning .claude/skills/mindtickle-performance-tuning && rm -rf skills-src

Use ~/.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/

Facts

Skill name
mindtickle-performance-tuning
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
397 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Diagnose and improve a Mindtickle integration with measured latency, backlog, freshness, and reconciliation evidence.

  • Works in 8 steps: Define the user or business symptom,… → Break elapsed time into queue, customer… → Segment by operation, page or batch,… → …
  • Syncs miss objectives
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mindtickle Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Diagnose and improve a Mindtickle integration with measured latency, backlog, freshness, and reconciliation evidence. Use when reports or syncs miss objectives. Trigger with "tune Mindtickle performance".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code; production load, concurrency, caching, and schedule changes require service and tenant-owner approval

It sits in Business, Finance & HR, covering Accounting and bookkeeping. 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

  • Syncs miss objectives
  • With tune Mindtickle performance

Example prompts

  • “tune Mindtickle performance”
  • “/mindtickle-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; production load, concurrency, caching, and schedule changes require service and tenant-owner approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Define the user or business symptom, objective, correctness invariant, workload, and baseline window.
  2. Break elapsed time into queue, customer processing, network, tenant response, downstream processing, and reconciliation.
  3. Segment by operation, page or batch, payload class, tenant, response class, and time without exposing personal data.
  4. Rank bottlenecks by measured contribution and distinguish latency from throttling, backlog, and data-quality delay.
  5. Propose one controlled change at a time: scheduling, bounded concurrency, pagination, batching, caching, indexing, or payload reduction…
  6. Define cache ownership, freshness, invalidation, privacy, and stale-data behavior before enabling a cache.
  7. Run the experiment within abort thresholds and compare p50, tail latency, errors, retries, backlog, freshness, and reconciliation.
  8. Retain the change only when the improvement is repeatable and correctness is unchanged; otherwise roll back.

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:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    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):

    • mindtickle.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

    Designed for Claude Code; production load, concurrency, caching, and schedule changes require service and tenant-owner approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Mindtickle Performance Tuning loads about 1k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 397 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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). 397 words, ~1,039 tokens.

Download SKILL.mdSave it as .claude/skills/mindtickle-performance-tuning/SKILL.md (or your agent's skills folder).
name
mindtickle-performance-tuning
description
Diagnose and improve a Mindtickle integration with measured latency, backlog, freshness, and reconciliation evidence. Use when reports or syncs miss objectives. Trigger with "tune Mindtickle performance".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; production load, concurrency, caching, and schedule changes require service and tenant-owner approval
argument-hint
[service] [measurement-window]
version
1.8.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, mindtickle, performance, observability, reliability
model
inherit
effort
high

Evidence-Driven Mindtickle Integration Performance

Overview

Improve the customer-controlled integration path from a reproducible baseline while respecting tenant contracts, privacy, freshness, and correctness.

Prerequisites

  • A service-level objective, representative workload, current contract digest, and observation window
  • Metrics for latency, attempts, errors, retries, backlog age, throughput, freshness, and reconciliation
  • A non-production load path or approved canary with explicit abort thresholds

Tool Discipline

Use Read, Glob, and Grep to inspect traces and configuration, WebFetch for current authorized contracts, and Write or Edit for benchmarks, controlled changes, tests, and redacted receipts.

Current Contract

Performance spans the customer application, network, identity, adapter, tenant operations, and downstream systems. Mindtickle states support for scalable integrations but does not publish universal latency or quota targets, so customer objectives and tenant-specific evidence must remain separate.

Authentication

Benchmark with synthetic or aggregate data and a least-privilege non-production principal. Never use extra credentials to create artificial concurrency or include payload contents in traces.

Instructions

  1. Define the user or business symptom, objective, correctness invariant, workload, and baseline window.
  2. Break elapsed time into queue, customer processing, network, tenant response, downstream processing, and reconciliation.
  3. Segment by operation, page or batch, payload class, tenant, response class, and time without exposing personal data.
  4. Rank bottlenecks by measured contribution and distinguish latency from throttling, backlog, and data-quality delay.
  5. Propose one controlled change at a time: scheduling, bounded concurrency, pagination, batching, caching, indexing, or payload reduction only where the contract permits it.
  6. Define cache ownership, freshness, invalidation, privacy, and stale-data behavior before enabling a cache.
  7. Run the experiment within abort thresholds and compare p50, tail latency, errors, retries, backlog, freshness, and reconciliation.
  8. Retain the change only when the improvement is repeatable and correctness is unchanged; otherwise roll back.
Show full SKILL.md (110 more words)Show less

Approval Boundaries

Do not load-test production, raise concurrency, retain learner data in a cache, or trade correctness for speed without explicit owners.

Output

Return the objective, baseline, bottleneck evidence, experiment, approvals, before-and-after metrics, correctness reconciliation, decision, and rollback receipt.

Error Handling

ConditionResponse
Metrics omit queue or retry timeRepair instrumentation before claiming improvement.
Vendor behavior changes during a testStop, preserve the window, and rerun after the contract is stable.
Faster run produces divergent dataRoll back immediately and investigate correctness first.

Example

text
objective=freshness-under-target; baseline=7d; bottleneck=customer-queue; change=schedule-partition; tail-latency=improved; reconciliation=exact

Resources

Next Steps

Observe the retained change for a full workload cycle and update the capacity policy with measured evidence.

© 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

Just SKILL.md in skills/.curated/mindtickle-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Mindtickle 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.

Mindtickle Performance Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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ERPClaw ERP Controlleravansaber/erpclaw116—~18kAutomated safety check: PassGPL-3.0
Odoo Agency Fleet Reviewerpipe-org/mcp-odoo421—~699Automated safety check: PassMIT
Beancount Closebex-co/beancount-io297—~1.4kAutomated safety check: PassMIT

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Questions about Mindtickle Performance Tuning

What does Mindtickle Performance Tuning do?

Diagnose and improve a Mindtickle integration with measured latency, backlog, freshness, and reconciliation evidence. Mindtickle Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Diagnose and improve a Mindtickle integration with measured latency, backlog, freshness, and reconciliation evidence.

When should I use Mindtickle Performance Tuning?

Mindtickle Performance Tuning fits situations like: syncs miss objectives; with tune Mindtickle performance.

How do I install Mindtickle Performance Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill mindtickle-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/mindtickle-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/mindtickle-performance-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Mindtickle Performance Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill mindtickle-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/mindtickle-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/mindtickle-performance-tuning in your project. Codex loads it when a task matches its description.

Can I use Mindtickle 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 mindtickle-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/mindtickle-performance-tuning, .gemini/skills/mindtickle-performance-tuning, .github/skills/mindtickle-performance-tuning and .opencode/skills/mindtickle-performance-tuning in your project.

What does Mindtickle Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Mindtickle Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; production load, concurrency, caching, and schedule changes require service and tenant-owner approval.

Does Mindtickle Performance Tuning access the network?

SKILL.md names 1 domain. As links in the text: mindtickle.com. This is read from the text; nothing was executed.

Is Mindtickle 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 Mindtickle Performance Tuning use?

Mindtickle 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 Mindtickle Performance Tuning use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mindtickle Performance Tuning?

Skills that share tags, products or a category with Mindtickle Performance Tuning: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 116 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mindtickle 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.