Individual skill
gradient-methods
Problem-solving strategies for gradient methods in optimization
bundled/skills/gradient-methods/SKILL.md
Source commit 8af6e230d3db0f3022236e67632be6d8b9323bf0
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 3,817
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- ai-workflow Repository topic
- automation Repository topic
- codex Repository topic
- developer-tools Repository topic
- skills Repository topic
- ai-skills Repository topic
- claude-code Repository topic
- llm Repository topic
- vibe-coding Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# Gradient Methods
## When to Use
Use this skill when working on gradient-methods problems in optimization.
## Decision Tree
1. **Basic Gradient Descent**
- Update: x_{k+1} = x_k - alpha * grad f(x_k)
- Step size alpha: fixed, diminishing, or line search
- Convergence: O(1/k) for convex, linear for strongly convex
