Official agent skill

Analyze Drivers

by microsoft in microsoft/power-platform-skills

A skill your agent uses when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework.

OfficialMITAuto-check passed

Install Analyze Drivers

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

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

GitHub CLI
$ gh skill install microsoft/power-platform-skills analyze-drivers --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-drivers .claude/skills/analyze-drivers && 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-drivers
GitHub stars
984
Token cost
~907 tokens
SKILL.md length
396 words
Files
1
Skills in repo
93
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework.

  • Works in 3 steps: Check A's metadata level before… → Only if prevalence or mean evidence is… → For a remaining hypothesis, use a…
  • Seeking explanatory attributes
  • SKILL.md covers Ordered trace, Non-case branch and Report and stop
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyze Drivers is an agent skill from microsoft/power-platform-skills, published by the product's own GitHub organization. Use when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework.

Its SKILL.md is about 910 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

  • Seeking explanatory attributes
  • Hypotheses for differences in process duration

Example prompts

  • “/analyze-drivers”

Requirements

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

Workflow steps

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

  1. Check A's metadata level before correlation. Reuse a cached signal instead of repeating it.
  2. Only if prevalence or mean evidence is needed and statistics is advertised
  3. For a remaining hypothesis, use a discriminating matched comparison via compare-cohorts,

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 Drivers loads about 907 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 396 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~907

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). 396 words, ~907 tokens.

Download SKILL.mdSave it as .claude/skills/analyze-drivers/SKILL.md (or your agent's skills folder).
name
analyze-drivers
description
Use when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework.
allowed-tools
Read, AskUserQuestion

Drivers: association before explanation

Use the shared contract and filter/unit reference. Reuse metadata and frozen baseline scope; choose a specific defined outcome and relevant case-level attributes from the user's context, without a candidate quota. If none is known, ask; do not sweep. State a testable hypothesis, possible competing explanation and what would distinguish them. Load the investigation method for evidence/status tracking. For utilization, first check timestamp imports and the zero-duration convention in the unit reference. A cohort-mix convention is not resource efficiency or measured productive time.

Ordered trace

  1. Check A's metadata level before correlation. Reuse a cached signal instead of repeating it. get_correlation_v2 {S,attributeName:A,influenceFormula:I,sortOrder:"Descending",filterOptions:F}.

    OutcomeI
    Duration / waiting / active timeDurationInfluence / WaitingTimeInfluence / ActiveTimeInfluence
    Utilization / event countCaseUtilizationInfluence / EventCountInfluence
    Rework / loops / self-loopsReworkCountInfluence / LoopCountInfluence / SelfloopCountInfluence

    Use the advertised enum and exact spelling. There are no itemsPerPage, itemsToSkip, top, metrics or limit arguments. The service ranks at most 20 groups.

  2. Only if prevalence or mean evidence is needed and statistics is advertised: get_attribute_statistics {S,attributeName:A,filterOptions:F,itemsPerPage:5,itemsToSkip:0,metricToSortBy:"CaseFrequency",sortOrder:"Descending"}. Match returned values explicitly. Influence-ranked groups may differ from frequency-ranked groups; an absent match is unknown, not zero.

  3. For a remaining hypothesis, use a discriminating matched comparison via compare-cohorts, focused statistics/cases, or another relevant candidate. Derive each test from frozen F, never an outcome-only exploratory subset. A cached signal can go directly to its test. Continue needed checks/pages without fixed analytical-call or candidate quotas. If matched evidence contradicts the proposed direction, mark it contradicted within that scope; do not privilege the earlier influence score or claim it proves a cause.

Show full SKILL.md (141 more words)Show less

Non-case branch

An event-level Resource cannot be sent to correlation. If useful and advertised, use the statistics call above for that attribute, but describe grouped event duration/frequencies, not case-duration drivers. Otherwise ask for a case-level candidate or report the capability gap. Do not silently substitute a different causal analysis.

Report and stop

Influence is a prevalence-weighted descriptive score, not Pearson correlation, significance, causal effect or confidence. Its formula already scales by 100; do not multiply again. Return at most five useful signals with available counts/means, units, scope and partial coverage. Label explanations as hypotheses, note selection/confounding, and state one falsifiable evidence check. Record tested versus merely observed claims, alternatives and missing evidence; revise or stop when the next check cannot discriminate. No assumed outcome maturity or closure. Stop when no discriminating evidence remains; do not paginate correlations or invent sample sizes.

© 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-drivers of microsoft/power-platform-skills.

Open the folder on GitHubat commit 7d6b845

Compare with similar skills

Analyze Drivers 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 Drivers compared with similar skills
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Analyze Drivers this skillmicrosoft/power-platform-skills984—~907Automated safety check: PassMIT
Hypothesesdavepoon/buildwithclaude3.6k—~2kAutomated safety check: PassMIT
Performance AttributionHKUDS/Vibe-Trading35k—~3.1kAutomated safety check: PassMIT
Campaign Attribution Evidence Analysismukul975/Anthropic-Cybersecurity-Skills34k—~2.3kAutomated safety check: PassApache-2.0
Seek And Analyze Videosickn33/agentic-awesome-skills47k2 repos~997Automated safety check: PassMIT
Direction Attributethedaviddias/Front-End-Checklist74k—~534Automated safety check: PassMIT

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Questions about Analyze Drivers

What does Analyze Drivers do?

A skill your agent uses when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework. Analyze Drivers is an agent skill from microsoft/power-platform-skills, published by the product's own GitHub organization. Use when seeking explanatory attributes or hypotheses for differences in process duration, waiting, utilization or rework.

When should I use Analyze Drivers?

Analyze Drivers fits situations like: seeking explanatory attributes; hypotheses for differences in process duration.

How do I install Analyze Drivers in Claude Code?

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

How do I install Analyze Drivers in Codex?

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

Can I use Analyze Drivers 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-drivers -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-drivers, .gemini/skills/analyze-drivers, .github/skills/analyze-drivers and .opencode/skills/analyze-drivers in your project.

What does Analyze Drivers need to run?

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

Does Analyze Drivers 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 Drivers 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 Drivers use?

Analyze Drivers 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 Drivers use?

About 907 tokens (SKILL.md is roughly 3.6k 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 Drivers?

Skills that share tags, products or a category with Analyze Drivers: Hypotheses (davepoon/buildwithclaude, 3.6k stars), Performance Attribution (HKUDS/Vibe-Trading, 35k stars), Campaign Attribution Evidence Analysis (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Seek And Analyze Video (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze Drivers?

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.