Automated summary
This skill maps the load profile of a system or component by tracing request flows and identifying bottlenecks and scaling risks.
Strengths
- Systematic identification of common bottlenecks (N+1 queries, unbounded collections, etc.)
- Multi-scale load estimation (current, 10x, 100x) to anticipate growth
- Step-by-step workflow ensures reproducible analysis
Limitations
- Relies on static code analysis, not runtime profiling or monitoring
- Load estimates are speculative without production traffic data
- Requires familiarity with the codebase to trace flows accurately
Use when preparing for a scalability review, planning capacity, or before deploying performance-sensitive changes.
Do not use for actual load testing or when precise capacity planning metrics are needed from real traffic.
Security analysis
SafeThe skill only reads and explores code using Read, Grep, Glob, and Bash for analysis. It does not execute destructive commands, exfiltrate data, or disable safety measures. Bash usage is limited to code exploration, not arbitrary execution.
No concerns found
How this analysis is madeExamples
Outline the load profile for the user authentication service in the auth/ directory.Map the load characteristics of the database access layer in src/db/.Outline load for the /api/orders endpoint and identify bottlenecks.name: outline-load description: Outline the load profile for a system or component — map traffic patterns, peak usage, data growth, and resource consumption over time. user_invocable: true argument-hint: <component or system path> allowed-tools: ["Read", "Grep", "Glob", "Bash"]
Outline Load Profile
Map the load characteristics of a component or system to understand its scaling behavior.
Arguments: $ARGUMENTS
Workflow
Step 1: Identify the Component
Read the target component from $ARGUMENTS. Explore its:
- Entry points (API endpoints, CLI commands, event handlers, scheduled jobs)
- Data stores it reads from and writes to
- External service calls
Step 2: Map Request Flow
For each entry point, trace the request path:
- Ingress: How does work arrive? (HTTP, queue, cron, user action)
- Processing: What computation happens? (CPU-bound, I/O-bound, memory-bound)
- Egress: Where do results go? (response, database write, file output, notification)
Step 3: Estimate Load Dimensions
For each flow, estimate:
| Dimension | Current | 10x | 100x | |-----------|---------|-----|------| | Requests/sec | | | | | Data per request | | | | | Total storage | | | | | Concurrent connections | | | | | Memory per request | | | |
Fill in what can be determined from code. Mark unknowns as ?.
Step 4: Identify Bottlenecks
Look for:
- Single-threaded paths: Synchronous processing that blocks
- Unbounded collections: Arrays/lists that grow with input size
- N+1 queries: Database/API calls inside loops
- Global state: Shared mutable state across requests
- Missing pagination: Queries without LIMIT/OFFSET
- Large file reads: Reading entire files into memory
Step 5: Output the Load Profile
## Load Profile: [Component]
**Entry Points**: [count] ([list])
**Processing Type**: [CPU-bound | I/O-bound | Memory-bound | Mixed]
**Current Load Estimate**:
[table from Step 3]
**Bottlenecks Identified**:
1. [file:line] — [description]
2. [file:line] — [description]
**Scaling Risks**:
- [risk 1]
- [risk 2]
**Recommendation**: [scale-ready | needs-work | redesign-required]
This feeds into /scale-review:evaluate for detailed analysis.
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/system-load-profile-outline-mma3jrru/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/system-load-profile-outline-mma3jrru' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/system-load-profile-outline-mma3jrru/download' --output '.skill-downloads/system-load-profile-outline-mma3jrru/SKILL.md.part' && mv '.skill-downloads/system-load-profile-outline-mma3jrru/SKILL.md.part' '.skill-downloads/system-load-profile-outline-mma3jrru/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.
Claude Code
test -f '.skill-downloads/system-load-profile-outline-mma3jrru/SKILL.md' && test -s '.skill-downloads/system-load-profile-outline-mma3jrru/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/outline-load' && cp -R '.skill-downloads/system-load-profile-outline-mma3jrru' '.claude/skills/outline-load'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/system-load-profile-outline-mma3jrru'openskills read 'system-load-profile-outline-mma3jrru'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
openskills syncManual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/system-load-profile-outline-mma3jrru/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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