forecast-operational-metrics SKILL.md skillA
forecast-operational-metrics from pjt222/agent-almanac is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pjt222/agent-almanac/forecast-operational-metrics@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pjt222/agent-almanac
- Path
i18n/caveman-lite/skills/forecast-operational-metrics/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Aug 17, 2026
- First version recorded
- Apr 19, 2026
- Size
- 14,327 bytes
- Repository stars
- 43
- License
- MIT
Forecast infrastructure and application metrics using Prophet or statsmodels for capacity planning, cost optimization, and proactive scaling. Visualize predictions in Grafana and set up alerts for projected resource exhaustion. Use when forecasting infrastructure capacity needs for CPU, memory, or disk, planning hardware procurement for next quarter, predicting cost trends to optimize cloud spending, or setting up proactive scaling policies based on predicted load.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Forecast Operational Metrics Predict future resource usage and system metrics for capacity planning and cost optimization. > See [Extended Examples](references/EXAMPLES.md) for complete configuration files and templates. ## When to Use - Need to forecast infrastructure capacity needs (CPU, memory, disk, network) - Planning hardware/cloud resource procurement for next quarter - Want to predict cost trends and optimize cloud spending - Need to set up proactive scaling policies based on predicted load - Forecasting user traffic for event planning - Predicting database storage growth for backup planning - Estimating API usage for rate limiting configuration ## Inputs - **Required**: Historical time series metrics (3-12 months minimum) - **Required**: Metric type (CPU, memory, requests/sec, costs, etc.) - **Required**: Forecast horizon (days, weeks, or months ahead) - **Optional**: Known future events (deployments, marketing campaigns, holidays) - **Optional**: Seasonality information (daily, weekly, yearly patterns) - **Optional**: External regressors (e.g., marketing spend, user signups) ## Procedure ### Step 1: Set Up Environment and Load Data …
Read the whole file at its exact version.
How to install
mdr add pjt222/agent-almanac/forecast-operational-metrics@sha256:06f27d95a2f84981The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_se67shmuf26z5pd4)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 19, 2026 and Aug 17, 2026, about one every 60 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-08-17 | a784899 | 14,327 B | A | view · diff |
| v1.0 | 2026-04-24 | 0b91b04 | 14,298 B | A | view · diff |
| v1.0 | 2026-04-19 | e334ebd | 14,353 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14327 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pjt222/agent-almanac · 43 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_se67shmuf26z5pd4 GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/forecast-operational-metrics GET https://markdownregistry.com/api/v1/blob/06f27d95a2f84981912990a36e231c2ff14ad21754765cda0e7361c9c3994b61
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.