Official agent skill

Analyze Performance

by microsoft in microsoft/power-platform-skills

A skill your agent uses when investigating slow activities, waiting, handoff duration, bottlenecks or cumulative activity workload.

OfficialMITAuto-check passed

Install Analyze Performance

skills CLI
$ npx skills add microsoft/power-platform-skills --skill analyze-performance -a claude-code

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

GitHub CLI
$ gh skill install microsoft/power-platform-skills analyze-performance --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/microsoft/power-platform-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/process-intelligence/skills/analyze-performance .claude/skills/analyze-performance && 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
analyze-performance
GitHub stars
984
Token cost
~860 tokens
SKILL.md length
374 words
Files
1
Skills in repo
93
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when investigating slow activities, waiting, handoff duration, bottlenecks or cumulative activity workload.

  • Works in 3 steps: Slow activities by mean → Cumulative activity duration: skip step… → Only for unresolved evidence, choose a…
  • Investigating slow activities
  • SKILL.md covers Ordered recipe and Boundaries and stopping
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyze Performance is an agent skill from microsoft/power-platform-skills, published by the product's own GitHub organization. Use when investigating slow activities, waiting, handoff duration, bottlenecks or cumulative activity workload.

Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A plugin marketplace for GitHub Copilot and other AI agents that provides Power Platform development plugins, including reusable skills, agents, and commands for building and… The licence is MIT.

When your agent uses it

  • Investigating slow activities
  • Handoff duration
  • Cumulative activity workload

Example prompts

  • “/analyze-performance”

Requirements

  • Pre-approved tools (allowed-tools): Read, AskUserQuestion

Workflow steps

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

  1. Slow activities by mean
  2. Cumulative activity duration: skip step 1 if this alone was requested.
  3. Only for unresolved evidence, choose a targeted drilldown

What it can do on your machine

Read from SKILL.md and the folder at commit 7d6b845. 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
    • AskUserQuestion

    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.

Context cost

Analyze Performance loads about 860 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 374 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~860

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 microsoft/power-platform-skills at commit 7d6b845, republished under its MIT licence (© microsoft). 374 words, ~860 tokens.

Download SKILL.mdSave it as .claude/skills/analyze-performance/SKILL.md (or your agent's skills folder).
name
analyze-performance
description
Use when investigating slow activities, waiting, handoff duration, bottlenecks or cumulative activity workload.
allowed-tools
Read, AskUserQuestion

Performance: averages are not total impact

Use the shared contract and units/filter semantics. Reuse S, baseline F and metadata; do not request a baseline overview for an exact top-bottleneck question.

Ordered recipe

Choose the smallest entry branch:

  1. Slow activities by mean: get_bottleneck_analysis_v2 {S,itemsPerPage:5,itemsToSkip:0,mcpFilterOptions:F}. Omit absent F. Duration is average activity duration, already ranked descending. Do not pass attributeName, metrics, aggregation or limit.
  2. Cumulative activity duration: skip step 1 if this alone was requested. From metadata take the exact Activity import attribute A; never assume its name is "Activity". If advertised, call get_attribute_statistics {S,attributeName:A,filterOptions:F,itemsPerPage:5,itemsToSkip:0,metricToSortBy:"TotalDuration",sortOrder:"Descending"}. There is no _v2 suffix. For an event-level Activity, TotalDuration sums matching events; AvgDuration is their mean. Keep EventFrequency and CaseFrequency distinct. RelativeCaseFrequency is a ratio; overlapping activity groups' case counts are not additive.
  3. Only for unresolved evidence, choose a targeted drilldown: get_edges_with_metrics_v2 {S,filterOptions:F,itemsPerPage:20,itemsToSkip:0} for handoffs, or get_cases_with_metrics_v2 {S,filterOptions:F,itemsPerPage:5,itemsToSkip:0,metricToSortBy:"WaitingTime",sortOrder:"Descending"}. Reuse earlier compatible results. Continue relevant drilldowns/pages without fixed call or total-row ceilings; each query must resolve missing evidence, not repeat an answered question.
Show full SKILL.md (205 more words)Show less

Boundaries and stopping

Missing statistics: report the cumulative-measure gap, optionally average-only bottleneck evidence. Never derive population totals from top-five averages or call a hidden statistics tool. Edges expose no sort input: local ranking of one incomplete page is page-local, not global. Report the native edge Duration mean; do not relabel it as an independently established waiting metric. For a requested global edge ranking, retrieve necessary pages to complete coverage before ranking; if coverage is incomplete, explicitly leave the global result unresolved. Event/attribute filters retain whole cases, not just matching events. Check timestamp imports before interpreting utilization: zero-duration conventions with start-only data can produce nonzero ratios without measured active work. Keep raw values and use same-scope cohort evidence; see the unit reference.

Stop once answered or evidence/capability is exhausted. Show at most five headline rows with separate mean, total and frequency columns only when returned, scope/units and coverage. High duration is an investigation lead, not proof of cause or a guaranteed time saving. Mean activity duration times process case count is not total workload: cases are not activity occurrences. Even known workload is not an intervention's removable delay. Use the investigation method to label observations and tested findings, retain counterevidence and identify a discriminating next check.

© microsoft, 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 plugins/process-intelligence/skills/analyze-performance of microsoft/power-platform-skills.

Open the folder on GitHubat commit 7d6b845

Compare with similar skills

Analyze Performance 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.

Analyze Performance compared with similar skills
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Analyze Performance this skillmicrosoft/power-platform-skills984—~860Automated safety check: PassMIT
Session Handoff Documentthedotmack/claude-mem99k—~1.4kAutomated safety check: PassApache-2.0
Handoffnexu-io/open-design100k—~547Automated safety check: PassApache-2.0
Handoffalirezarezvani/claude-skills28k—~2.5kAutomated safety check: NotesMIT
Handoffalirezarezvani/claude-skills28k—~532Automated safety check: PassMIT
Session Handoff Writercodewhale-hq/Codewhale41k—~1.2kAutomated safety check: PassMIT

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Questions about Analyze Performance

What does Analyze Performance do?

A skill your agent uses when investigating slow activities, waiting, handoff duration, bottlenecks or cumulative activity workload. Analyze Performance is an agent skill from microsoft/power-platform-skills, published by the product's own GitHub organization. Use when investigating slow activities, waiting, handoff duration, bottlenecks or cumulative activity workload.

When should I use Analyze Performance?

Analyze Performance fits situations like: investigating slow activities; handoff duration; cumulative activity workload.

How do I install Analyze Performance in Claude Code?

Run `npx skills add microsoft/power-platform-skills --skill analyze-performance -a claude-code`. Or copy the skill folder (plugins/process-intelligence/skills/analyze-performance in microsoft/power-platform-skills) into .claude/skills/analyze-performance in your project. Claude Code loads it when a task matches its description.

How do I install Analyze Performance in Codex?

Run `npx skills add microsoft/power-platform-skills --skill analyze-performance -a codex`. Or copy the skill folder (plugins/process-intelligence/skills/analyze-performance in microsoft/power-platform-skills) into .agents/skills/analyze-performance in your project. Codex loads it when a task matches its description.

Can I use Analyze Performance 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 microsoft/power-platform-skills --skill analyze-performance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-performance, .gemini/skills/analyze-performance, .github/skills/analyze-performance and .opencode/skills/analyze-performance in your project.

What does Analyze Performance need to run?

SKILL.md names no scripts, command-line tools or credentials: Analyze Performance is instructions for the agent only. Its frontmatter pre-approves these tools: Read, AskUserQuestion.

Does Analyze Performance 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 Analyze Performance 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 Analyze Performance use?

Analyze Performance is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyze Performance use?

About 860 tokens (SKILL.md is roughly 3.4k 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 Analyze Performance?

Skills that share tags, products or a category with Analyze Performance: Session Handoff Document (thedotmack/claude-mem, 99k stars), Handoff (nexu-io/open-design, 100k stars), Handoff (alirezarezvani/claude-skills, 28k stars) and Handoff (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze Performance?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/power-platform-skills, which has 984 GitHub stars. The repository holds 93 skills in this directory. The repository was last updated on October 9, 2026.

Source: microsoft/power-platform-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.