Official agent skill

CLI Logging UX

by microsoft in microsoft/apm

A skill your agent uses when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase.

OfficialMITAuto-check passedDevOps & Cloud

Install CLI Logging UX

skills CLI
$ npx skills add microsoft/apm --skill cli-logging-ux -a claude-code

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

GitHub CLI
$ gh skill install microsoft/apm cli-logging-ux --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/apm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.apm/skills/cli-logging-ux .claude/skills/cli-logging-ux && 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
cli-logging-ux
GitHub stars
4k
Token cost
~3.9k tokens
SKILL.md length
1,168 words
Files
1
Skills in repo
27
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase.

  • Works in 3 steps: The "So What?" Test → The Traffic Light Rule → The Newspaper Test
  • Creating CLI output
  • SKILL.md covers Decision framework, Inline output vs deferred…, Console helper conventions and Output structure pattern, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

CLI Logging UX is an agent skill from microsoft/apm, published by the product's own GitHub organization. Use this skill when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase. Activate whenever code touches console helpers (richsuccess, richwarning, richerror, richinfo, richecho), DiagnosticCollector, STATUSSYMBOLS, CommandLogger, or any user-facing terminal output — even if the user doesn't mention "logging" or "UX" explicitly.

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Monitoring and alerting. The repository describes itself as: Agent Package Manager. The licence is MIT.

When your agent uses it

  • Creating CLI output
  • Progress indicators
  • Diagnostic summaries in the APM codebase

Example prompts

  • “t mention”
  • “/cli-logging-ux”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. The "So What?" Test
  2. The Traffic Light Rule
  3. The Newspaper Test

What it can do on your machine

Read from SKILL.md and the folder at commit 280b8a7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    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

CLI Logging UX loads about 3.9k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 1,168 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

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/apm at commit 280b8a7, republished under its MIT licence (© microsoft). 1,168 words, ~3,892 tokens.

Download SKILL.mdSave it as .claude/skills/cli-logging-ux/SKILL.md (or your agent's skills folder).
name
cli-logging-ux
description
Use this skill when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase. Activate whenever code touches console helpers (_rich_success, _rich_warning, _rich_error, _rich_info, _rich_echo), DiagnosticCollector, STATUS_SYMBOLS, CommandLogger, or any user-facing terminal output — even if the user doesn't mention "logging" or "UX" explicitly.

CLI Logging UX expert persona

CLI Logging & Developer Experience

Decision framework

Apply these three tests to every piece of user-facing output. If a message fails any test, redesign it.

1. The "So What?" Test

Every warning must answer: what should the user do about this?

# Fails — not actionable, user can't do anything
Sub-skill 'my-skill' from 'my-package' overwrites existing skill

# Passes — tells the user exactly what to do
Skipping my-skill — local file exists (not managed by APM). Use 'apm install --force' to overwrite.

If the user can't act on it, it's not a warning — it's noise. Demote to --verbose or remove.

2. The Traffic Light Rule

Use color semantics consistently. Never use a warning color for an informational state.

ColorHelperMeaningWhen to use
Green_rich_success()Success / completedOperation finished as expected
Yellow_rich_warning()User action neededSomething requires user decision
Red_rich_error()Error / failureOperation failed, cannot continue
Blue_rich_info()InformationalStatus updates, progress, summaries
Dim_rich_echo(color="dim")Secondary detailVerbose-mode details, grouping headers
3. The Newspaper Test

Can the user scan output like headlines? Top-level = what happened. Details = drill down.

# Bad — warnings break the visual flow between status and summary
[checkmark] package-name
[warning] something happened
[warning] something else happened
  [tree] 3 skill(s) integrated

# Good — clean tree, diagnostics at the end
[checkmark] package-name
  [tree] 3 skill(s) integrated

── Diagnostics ──
  [warning] 2 skills replaced by a different package (last installed wins)
    Run with --verbose to see details

Inline output vs deferred diagnostics

Use inline output for:
  • Success confirmations (_rich_success)
  • Progress updates (_rich_info with indented └─ prefix)
  • Errors that halt the current operation (_rich_error)
Use DiagnosticCollector for:
  • Warnings that apply across multiple packages (collisions, overwrites)
  • Issues the user should know about but that don't stop the operation
  • Anything that would repeat N times in a loop
python
# Bad — inline warning repeated per file, clutters output
for file in files:
    if collision:
        _rich_warning(f"Skipping {file}...")

# Good — collect during loop, render grouped summary at the end
for file in files:
    if collision:
        diagnostics.skip(file, package=pkg_name)

# Later, after the loop:
if diagnostics.has_diagnostics:
    diagnostics.render_summary()

DiagnosticCollector categories: skip() for collisions, overwrite() for cross-package replacements, warn() for general warnings, error() for failures.

Console helper conventions

Always use the helpers from apm_cli.utils.console — never raw print() or bare click.echo().

Emojis are banned. Never use emoji characters anywhere in CLI output — not in messages, symbols, help text, or status indicators. Use ASCII text symbols exclusively via STATUS_SYMBOLS.

python
from apm_cli.utils.console import (
    _rich_success, _rich_error, _rich_warning, _rich_info, _rich_echo
)

_rich_success("Installed 3 APM dependencies")        # green, bold
_rich_info("  └─ 2 prompts integrated → .github/prompts/")  # blue
_rich_warning("Config drift detected — re-run apm install")  # yellow
_rich_error("Failed to download package")              # red
_rich_echo("    [pkg-name]", color="dim")              # dim, for verbose details

Use STATUS_SYMBOLS dict with symbol= parameter for consistent ASCII prefixes:

python
_rich_info("Starting operation...", symbol="gear")     # renders as "[*] Starting operation..."

Output structure pattern

Follow this visual hierarchy for multi-package operations:

[checkmark] package-name-1                      # _rich_success — download/copy ok
  [tree] 2 prompts integrated → .github/prompts/     # _rich_info — indented summary
  [tree] 1 skill(s) integrated → .github/skills/
[checkmark] package-name-2
  [tree] 1 instruction(s) integrated → .github/instructions/

── Diagnostics ──                         # Only if diagnostics.has_diagnostics
  [warning] N files skipped — ...                   # Grouped by category
    Run with --verbose to see details

Installed 2 APM dependencies              # _rich_success — final summary

Content-awareness principle

Before reporting changes, check if anything actually changed. Don't report no-ops.

python
# Bad — always copies and reports, even when content is identical
shutil.rmtree(target)
shutil.copytree(source, target)
_rich_info(f"  └─ Skill updated")

# Good — skip when content matches
if SkillIntegrator._dirs_equal(source, target):
    continue  # Nothing changed, nothing to report

CommandLogger Architecture

APM is a large and growing CLI with 10+ commands, 8+ integrators, and dozens of output sites. The logging architecture enforces Separation of Concerns: commands declare what happened; the logger decides how to render it. This keeps output consistent, testable, and evolvable without shotgun surgery across command files.

The three layers
┌─────────────────────────────────────────────────────┐
│  Command layer  (install.py, pack.py, audit.py …)   │
│  Calls: logger.success(), logger.tree_item(), …      │
│  NEVER calls: _rich_*, click.echo(), print()         │
├─────────────────────────────────────────────────────┤
│  Logger layer   (command_logger.py)                  │
│  CommandLogger ← InstallLogger, future subclasses    │
│  Owns: verbose gating, symbol choice, indentation    │
│  Delegates to: _rich_* helpers                       │
├─────────────────────────────────────────────────────┤
│  Rendering layer (console.py)                        │
│  _rich_echo, _rich_success, _rich_error, …           │
│  Owns: Rich/colorama fallback, color, STATUS_SYMBOLS │
└─────────────────────────────────────────────────────┘

Changes to output style (colors, symbols, indentation) happen in the logger or rendering layer only — command code is untouched. New output patterns (e.g. a tree sub-item, a package metadata line) become new logger methods, not ad-hoc format strings in commands.

Base class: CommandLogger

src/apm_cli/core/command_logger.py — base for all commands.

MethodPurposeWhen to use
start(msg, symbol=)Operation startBeginning of a command
progress(msg, symbol=)Status update with [i] prefixMid-operation phase changes
success(msg, symbol=)Green successOperation completed
warning(msg, symbol=)Yellow warningUser action needed
error(msg, symbol=)Red errorOperation failed
verbose_detail(msg)Dim text, verbose-onlyInternal details (paths, hashes)
tree_item(msg)Green text, no symbol prefix└─ sub-items under a package
package_inline_warning(msg)Yellow text, verbose-onlyPer-package diagnostic hints
dry_run_notice(msg)[dry-run] prefixDry-run explanation
auth_step(step, success, detail)Auth resolution stepVerbose auth tracing
render_summary()Render DiagnosticCollectorEnd of command
Subclass: InstallLogger(CommandLogger)

Install-specific phases. Commands that don't need these use CommandLogger directly.

MethodPurposeOutput
validation_start(count)Start validation[*] Validating N package(s)...
validation_pass(name, present)Package OK[+] name or name (already in apm.yml)
validation_fail(name, reason)Package bad[x] name -- reason
resolution_start(count, lockfile)Start resolutionContext-aware install/update message
download_complete(name, ref=, sha=, cached=)Package installed[+] name #tag @sha or (cached)
download_failed(name, error)Download error[x] name -- error
lockfile_entry(key, ref=, sha=)Lockfile verbose linekey: locked at sha / pinned to ref / omitted
package_auth(source, token_type=)Auth source verboseAuth: source (type)
package_type_info(label)Package type verbosePackage type: label
install_summary(apm, mcp, errors)Final summaryInstalled N APM dependencies.
When to add a new logger method

If a command needs a new output pattern (new indentation level, new semantic meaning, new verbose gate), add a method to CommandLogger or a subclass. Signs you need a new method:

  • You're writing _rich_echo(f" Something: {value}", color="dim") in a command file
  • You're checking if logger.verbose: before calling _rich_echo in a command
  • You're formatting a string with specific indentation that other commands might reuse
  • Multiple commands emit the same kind of line (e.g., file lists, auth info)
Rule: No direct _rich_* in commands

Command functions must NOT call _rich_info(), _rich_error(), etc. directly. Use logger.progress(), logger.error(), etc. instead. The _rich_* helpers are internal to the logger and rendering layers.

Exception: Rich tables and panels for display (not lifecycle logging) may use console.print() directly — these are data presentation, not status reporting.

Show full SKILL.md (452 more words)Show less
Rule: Every command gets a CommandLogger

Every Click command function must instantiate a CommandLogger (or subclass) and pass it to helpers:

python
@cli.command()
@click.option("--verbose", "-v", is_flag=True)
@click.option("--dry-run", is_flag=True)
def my_command(verbose, dry_run):
    logger = CommandLogger("my-command", verbose=verbose, dry_run=dry_run)
    logger.start("Starting operation...")
    _do_work(logger=logger)
    logger.render_summary()
Rule: Verbose gating lives in the logger

Never check if verbose: in command code. Use methods that gate internally:

python
# Bad — manual verbose check in command
if verbose:
    _rich_echo(f"    Auth: {source}", color="dim")

# Good — logger handles the gate
logger.package_auth(source, token_type)  # No-ops when not verbose
logger.verbose_detail(f"    Path: {path}")  # No-ops when not verbose
DiagnosticCollector integration

Access via logger.diagnostics (lazy-initialized). The collector owns the collect-then-render lifecycle:

python
# During operation — collect
diagnostics.skip(file, package=pkg_name)          # Collision
diagnostics.overwrite(file, package=pkg_name)     # Cross-package replacement
diagnostics.error(msg, package=pkg_name)          # Failure
diagnostics.auth(msg, package=pkg_name)           # Auth issue

# Query during operation (e.g., for inline verbose hints)
count = diagnostics.count_for_package(pkg_name, category="collision")
if count > 0:
    logger.package_inline_warning(f"    [!] {count} files skipped")

# After operation — render grouped summary
logger.render_summary()  # Delegates to diagnostics.render_summary()
Visual hierarchy contract

Multi-package operations follow this tree structure:

  [+] package-name #v1.0 @b0cbd3df                    # download_complete
      Auth: git-credential-fill (oauth)                # package_auth (verbose)
      Package type: Skill (SKILL.md detected)          # package_type_info (verbose)
    └─ 3 skill(s) integrated -> .github/skills/        # tree_item
    └─ 1 prompt integrated -> .github/prompts/         # tree_item
      [!] 2 files skipped (local files exist)          # package_inline_warning (verbose)
  [+] another-package (cached)                         # download_complete

── Diagnostics ──                                      # render_summary
  [!] 2 files skipped -- local files exist             # Grouped by category
    Use 'apm install --force' to overwrite

[*] Installed 2 APM dependencies.                      # install_summary

Key rules:

  • [+] package lines are the top-level anchors (green, no indent beyond 2-space)
  • Verbose metadata (Auth, Package type) uses 4-space indent, dim color
  • Tree items (└─) use 4-space indent, green color, no symbol prefix
  • Inline warnings use 4-space indent, yellow color, verbose-only
  • Diagnostics summary appears AFTER all packages, not inline (except verbose hints)
Scaling guidance

As the CLI grows, this architecture scales by:

  • New commands: Instantiate CommandLogger, use existing methods. Add subclass only if the command has distinct phases (like InstallLogger).
  • New output patterns: Add methods to CommandLogger. Every command benefits.
  • New integrators: Accept diagnostics= param, push to collector. No direct output.
  • Theme changes: Modify rendering layer (console.py). Zero command changes.
  • Testing: Mock CommandLogger in tests to assert semantic calls without parsing output strings.

Anti-patterns

  1. Warning for non-actionable state — If the user can't do anything about it, use _rich_info or defer to --verbose, not _rich_warning.

  2. Inline warnings in loops — Use DiagnosticCollector to collect, then render a grouped summary after the loop.

  3. Missing diagnostics parameter — When calling integrators, always pass diagnostics=diagnostics so warnings route to the deferred summary.

  4. No emojis, ever — Emojis are completely banned from all CLI output. Use ASCII text symbols from STATUS_SYMBOLS exclusively. This applies to messages, help text, status indicators, and table titles.

  5. Inconsistent symbols — Always use STATUS_SYMBOLS dict with symbol= param, not inline characters.

  6. Walls of text — Use Rich tables for structured data, panels for grouped content. Break up long output with visual hierarchy (indentation, └─ tree connectors).

  7. Direct _rich_* calls in commands — Use logger.start(), logger.progress(), logger.tree_item() etc. The _rich_* helpers are internal to CommandLogger and console.py. Adding a _rich_echo call in a command file is a SoC violation.

  8. Manual if verbose: checks — Use logger.verbose_detail(), logger.package_auth(), or other verbose-gated methods. The logger owns the gate.

  9. Manual if dry_run: checks — Use logger.should_execute or logger.dry_run_notice().

  10. Format strings for indentation in commands — Don't write f" Auth: {source}" in command code. Use logger.package_auth(source) which owns the indent level. When a new indentation pattern is needed, add a method to CommandLogger.

  11. Re-creating shared objects per iteration — Expensive objects like AuthResolver should be created once before loops and reused per-package. The logger and diagnostics collector are already singletons per command invocation.

  12. Using logger.progress() for tree sub-items — progress() adds a [i] symbol prefix. Tree continuation lines (└─) should use logger.tree_item() which renders with no symbol.

© 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 .apm/skills/cli-logging-ux of microsoft/apm.

Open the folder on GitHubat commit 280b8a7

Compare with similar skills

CLI Logging UX 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.

CLI Logging UX compared with similar skills
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Axiom Dashboard Builderopenclaw/clawhub9.5k—~4.9kAutomated safety check: PassMIT
Happy Infra Metrics and Grafanaslopus/happy24k—~2kAutomated safety check: NotesMIT

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Categories

Questions about CLI Logging UX

What does CLI Logging UX do?

A skill your agent uses when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase. CLI Logging UX is an agent skill from microsoft/apm, published by the product's own GitHub organization. Use this skill when editing or creating CLI output, logging, warnings, error messages, progress indicators, or diagnostic summaries in the APM codebase.

When should I use CLI Logging UX?

CLI Logging UX fits situations like: creating CLI output; progress indicators; diagnostic summaries in the APM codebase.

How do I install CLI Logging UX in Claude Code?

Run `npx skills add microsoft/apm --skill cli-logging-ux -a claude-code`. Or copy the skill folder (.apm/skills/cli-logging-ux in microsoft/apm) into .claude/skills/cli-logging-ux in your project. Claude Code loads it when a task matches its description.

How do I install CLI Logging UX in Codex?

Run `npx skills add microsoft/apm --skill cli-logging-ux -a codex`. Or copy the skill folder (.apm/skills/cli-logging-ux in microsoft/apm) into .agents/skills/cli-logging-ux in your project. Codex loads it when a task matches its description.

Can I use CLI Logging UX 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/apm --skill cli-logging-ux -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cli-logging-ux, .gemini/skills/cli-logging-ux, .github/skills/cli-logging-ux and .opencode/skills/cli-logging-ux in your project.

What does CLI Logging UX need to run?

SKILL.md names no scripts, command-line tools or credentials: CLI Logging UX is instructions for the agent only. Our summary lists: Python 3.

Does CLI Logging UX 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 CLI Logging UX 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 CLI Logging UX use?

CLI Logging UX 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 CLI Logging UX use?

About 3.9k tokens (SKILL.md is roughly 16k 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 CLI Logging UX?

Skills that share tags, products or a category with CLI Logging UX: Mz Release Signoff (MaterializeInc/materialize, 6.4k stars), Axiom Alerting Management (openclaw/clawhub, 9.5k stars), KubeEye Cluster Inspection (kubesphere/kubesphere, 17k stars) and Axiom Dashboard Builder (openclaw/clawhub, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains CLI Logging UX?

microsoft (a GitHub organization, an official publisher) maintains it in microsoft/apm, which has 3,968 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 6, 2026.

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