Agent skill · Workflow & Productivity

runtime-logger

Emit info-level logs to file during task execution, similar to logger.info() calls in code

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill runtime-logger --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/agent/runtime-logger/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Runtime Activity Logger Log key activities to `.claude/logs/activity.log` using bash as you work. This creates a trace of agent reasoning and actions analogous to info-level logging in deterministic code. ## Setup Before starting any task, ensure the log directory exists: ```bash mkdir -p .claude/logs ``` ## Log Format Use this consistent format for all log entries: ```bash echo "[$(date -Iseconds)] [LEVEL] phase: message" >> .claude/logs/activity.log ``` ### Log Levels | Level | Use For | |-------|---------| | `INFO` | Normal operations, progress updates, decisions | | `DEBUG` | Detailed technical information when troubleshooting | | `WARN` | Unexpected situations that don't block progress | | `ERROR` | Failures that affect task completion | ## When to Log ### Task Lifecycle - **Task start**: Log the goal and planned approach - **Task completion**: Log summary, outcome, and any artifacts created ### Tool Usage - **Before significant tool use**: Log what tool and why - **After tool use**: Log outcome (success/failure, key findings) ### Decision Points - **Architectural choices**: Log reasoning for design decisions - **Branch points**: Log why one approach was chosen over alternat

What's inside
Steps it walks through
  1. Setup
  2. Log Format
  3. Log Levels
  4. When to Log
  5. Task Lifecycle
  6. Tool Usage
  7. Decision Points
  8. Subagent Activity
  9. Examples
  10. Starting a Task
  11. Subagent Delegation
  12. Warnings and Errors
  13. Task Completion
  14. Log File Management
Ships with 1 file
  • metadata.json
Commands it runs
mkdir -p .claude/logs
echo "[$(date -Iseconds)] [LEVEL] phase: message" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] start: Beginning refactoring task for payment module" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] planning: Will analyze current structure, identify patterns, then apply Strategy pattern" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] tool: Reading src/payments/processor.py to understand current implementation" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] tool-result: Found 3 payment types with duplicated validation logic" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] decision: Using Strategy pattern - cleaner than inheritance for 3 payment types" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] decision: Keeping backward compatibility by wrapping legacy interface" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] delegate: Spawning test-writer subagent for unit test coverage" >> .claude/logs/activity.log
echo "[$(date -Iseconds)] [INFO] delegate-complete: test-writer created 12 unit tests, all passing" >> .claude/logs/activity.log
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About this skill
What does the runtime-logger skill do?

Emit info-level logs to file during task execution, similar to logger.info() calls in code

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill runtime-logger --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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