perf-optimise

perf-optimise is a skill for Claude Code from korchard333/claude-power-platform-community. It costs 48 tokens per session (3,293 once invoked), scanned A, original, MIT.

A set of guidance for finding and fixing slow Power Platform apps, flows, queries, and plugins. Power Platform is Microsoft's toolkit for building business apps and automations.

In plain words
What is it for?
Use it to improve Canvas and model-driven apps, Power Automate flows, Dataverse queries, and plugins, including throttling and capacity problems.
Why use it?
It helps avoid work that makes systems load too much data locally or exceed service limits. It explains issues such as delegation, where filtering is handled by the data source instead of the app.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: positional $N argument.

Good fit Use it to improve Canvas and model-driven apps, Power Automate flows, Dataverse queries, and plugins, including throttling and capacity problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/korchard333/claude-power-platform-community/perf-optimise
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add korchard333/claude-power-platform-community --skill perf-optimise
Clone the repo
git clone --depth 1 https://github.com/korchard333/claude-power-platform-community

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for perf-optimise

README.md
[![agentmods](https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/perf-optimise/github.svg)](https://agentmods.dev/skills/korchard333/claude-power-platform-community/perf-optimise)
Your own site
<a href="https://agentmods.dev/skills/korchard333/claude-power-platform-community/perf-optimise"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/perf-optimise/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for perf-optimise

Your own site · 80×15
<a href="https://agentmods.dev/skills/korchard333/claude-power-platform-community/perf-optimise"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/perf-optimise.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,293 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.03293
Opus 5 $0.00024 $0.01647
Sonnet 5 $0.00010 $0.00659
Haiku 4.5 $0.00005 $0.00329

Measured 11d ago against content hash 7a2a13a291c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

perf-optimise scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

sleep $(curl -sI ... | grep Retry-After | awk '{print $2}')
.claude/skills/perf-optimise/SKILL.md · 486 lines

How it starts

The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Performance Optimization

When to Use

Trigger when diagnosing or optimizing performance for Canvas Apps, Model-Driven Apps, Code Apps, Power Automate flows, Dataverse queries, or plugins. Also trigger when addressing API throttling (429 errors) or capacity limits.


Canvas App Performance

Delegation

Delegation pushes query logic to the data source. Non-delegable operations process only the first 500-2000 records locally.

Delegable to Dataverse NOT Delegable
Filter with =, <>, <, >, <=, >= Distinct
Filter with in (choice columns) CountRows (use CountIf for delegable)
Sort (single column) GroupBy
Search (Dataverse only) AddColumns in a Filter
StartsWith Nested Filter
LookUp First applied to non-delegable

Key Canvas Optimizations

// BAD: Non-delegable — loads all records, filters locally
Filter(Contacts, Text(Phone, "[$-en-US]#") = "555-0100")

// GOOD: Delegable — server-side filter
Filter(Contacts, Phone = "555-0100")

// BAD: Loading all records then counting
CountRows(Filter(LargeTable, Status = "Active"))

// GOOD: CountIf is delegable to Dataverse
CountIf(LargeTable, Status = "Active")

Concurrent() for Parallel Data Loading

// BAD: Sequential loading
ClearCollect(colAccounts, Accounts);
ClearCollect(colContacts, Contacts);
ClearCollect(colOrders, Orders);
// Total time = T1 + T2 + T3

// GOOD: Parallel loading
Concurrent(
    ClearCollect(colAccounts, Accounts),
    ClearCollect(colContacts, Contacts),
    ClearCollect(colOrders, Orders)
);
// Total time = max(T1, T2, T3)

Named Formulas (Pre-Computation)

// App.Formulas — computed once, cached
ActiveAccounts = Filter(Accounts, statuscode = 1);
UserDepartment = Office365Users.MyProfile().Department;
TodayDate = Today();

// These are evaluated once and cached — no re-computation on screen navigation

Collection Pre-Loading

// App.OnStart — load reference data once
Concurrent(
    ClearCollect(colStatusOptions, Choices('Accounts'.Status)),
    ClearCollect(colCategoryOptions, Choices('Accounts'.Category)),
    ClearCollect(colCountries, Filter(Countries, IsActive = true))
);

// Galleries and dropdowns use local collections (fast) instead of Dataverse calls

Read the full file on GitHub · 486 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 486 lines · 48 tokens per session scan A 7a2a13a291c8

Subscribe to this mod's changes

perf-optimise is a skill published in the GitHub repository korchard333/claude-power-platform-community (47 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 3,293 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

diagnose

Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.

emdash-cms/emdash · 43 tokens

repro-admin

Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.

emdash-cms/emdash · 48 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

byted-util-volcengine-detect-retry

An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.

bytedance/agentkit-samples · 101 tokens