timesfm

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Author	SHA1	Message	Date
Clayton Young	1c959c8919	feat(agents): add AGENTS.md entry point at repo root Short pointer for agents working directly in this repo. Points to timesfm-forecasting/SKILL.md and provides install commands for the first-party Agent Skill.	2026-02-22 13:40:52 -05:00
Clayton Young	a83dbf3f16	refactor(skill): replace claude-specific dirs with agentskills.io standard Replace AGENTS.md / claude-skill/ with a proper agentskills.io-compliant skill directory. Any AI agent that supports the open Agent Skills standard (Claude Code, OpenCode, Cursor, Codex, etc.) can now install and use this skill generically. Changes: - Remove AGENTS.md (was Claude-specific convention) - Remove claude-skill/ directory (was Claude-specific naming) - Add timesfm-forecasting/SKILL.md with compliant frontmatter: name: timesfm-forecasting description: ... license: Apache-2.0 metadata: author, version - Rename claude-skill/examples/ → timesfm-forecasting/examples/ - Rename claude-skill/scripts/ → timesfm-forecasting/scripts/ - Rename claude-skill/references/ → timesfm-forecasting/references/ - Update .gitattributes paths to match new directory Skill installs via: cp -r timesfm-forecasting/ ~/.claude/skills/ cp -r timesfm-forecasting/ ~/.cursor/skills/ # or any agent that supports agentskills.io Spec: https://agentskills.io/specification	2026-02-22 13:35:05 -05:00
Clayton Young	6c44413b7f	feat(skill): add timesfm-forecasting Agent Skill (agentskills.io) Add a self-contained AI agent skill for TimesFM that teaches coding agents (Claude Code, OpenCode, Cursor, Codex) how to use the TimesFM API correctly — safe model loading, zero-shot forecasting, covariate workflows, anomaly detection, and the most common pitfalls. Files added: - AGENTS.md — auto-loaded skill document (root of repo) - claude-skill/scripts/check_system.py — mandatory preflight RAM/GPU/disk checker - claude-skill/scripts/forecast_csv.py — CLI wrapper for CSV forecasting - claude-skill/references/ — ForecastConfig API ref, data prep, HW reqs - claude-skill/examples/global-temperature/ — basic forecast + PNG/GIF pipeline - claude-skill/examples/anomaly-detection/ — two-phase detrend+Z-score + quantile PI - claude-skill/examples/covariates-forecasting/ — forecast_with_covariates() XReg demo - .gitattributes — Git LFS rules for PNG/GIF binary outputs Contributed by Clayton Young / Superior Byte Works LLC (@borealBytes) Apache 2.0 — same license as this repository	2026-02-22 13:25:39 -05:00

Author

SHA1

Message

Date

Clayton Young

1c959c8919

feat(agents): add AGENTS.md entry point at repo root

Short pointer for agents working directly in this repo.
Points to timesfm-forecasting/SKILL.md and provides
install commands for the first-party Agent Skill.

2026-02-22 13:40:52 -05:00

Clayton Young

a83dbf3f16

refactor(skill): replace claude-specific dirs with agentskills.io standard

Replace AGENTS.md / claude-skill/ with a proper agentskills.io-compliant
skill directory. Any AI agent that supports the open Agent Skills standard
(Claude Code, OpenCode, Cursor, Codex, etc.) can now install and use this
skill generically.

Changes:
- Remove AGENTS.md (was Claude-specific convention)
- Remove claude-skill/ directory (was Claude-specific naming)
- Add timesfm-forecasting/SKILL.md with compliant frontmatter:
    name: timesfm-forecasting
    description: ...
    license: Apache-2.0
    metadata: author, version
- Rename claude-skill/examples/ → timesfm-forecasting/examples/
- Rename claude-skill/scripts/  → timesfm-forecasting/scripts/
- Rename claude-skill/references/ → timesfm-forecasting/references/
- Update .gitattributes paths to match new directory

Skill installs via:
  cp -r timesfm-forecasting/ ~/.claude/skills/
  cp -r timesfm-forecasting/ ~/.cursor/skills/
  # or any agent that supports agentskills.io

Spec: https://agentskills.io/specification

2026-02-22 13:35:05 -05:00

Clayton Young

6c44413b7f

feat(skill): add timesfm-forecasting Agent Skill (agentskills.io)

Add a self-contained AI agent skill for TimesFM that teaches coding
agents (Claude Code, OpenCode, Cursor, Codex) how to use the TimesFM
API correctly — safe model loading, zero-shot forecasting, covariate
workflows, anomaly detection, and the most common pitfalls.

Files added:
- AGENTS.md             — auto-loaded skill document (root of repo)
- claude-skill/scripts/check_system.py    — mandatory preflight RAM/GPU/disk checker
- claude-skill/scripts/forecast_csv.py   — CLI wrapper for CSV forecasting
- claude-skill/references/               — ForecastConfig API ref, data prep, HW reqs
- claude-skill/examples/global-temperature/   — basic forecast + PNG/GIF pipeline
- claude-skill/examples/anomaly-detection/    — two-phase detrend+Z-score + quantile PI
- claude-skill/examples/covariates-forecasting/ — forecast_with_covariates() XReg demo
- .gitattributes        — Git LFS rules for PNG/GIF binary outputs

Contributed by Clayton Young / Superior Byte Works LLC (@borealBytes)
Apache 2.0 — same license as this repository

2026-02-22 13:25:39 -05:00

3 Commits