Best for
- Use when the user wants to pull latest main, update main, or sync main with remote.
dyoshikawa/rulesync/.rulesync/skills/pull-main/SKILL.md
Switch to main branch and pull latest changes with prune. Use when the user wants to pull latest main, update main, or sync main with remote.
Decision brief
Switch to the main branch and pull the latest changes from origin/main while pruning stale remote-tracking references.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/dyoshikawa/rulesync --skill ".rulesync/skills/pull-main"Inspect the Agent Skill "pull-main" from https://github.com/dyoshikawa/rulesync/blob/310b711fbe8cffc14debb276ade8a384c2b89083/.rulesync/skills/pull-main/SKILL.md at commit 310b711fbe8cffc14debb276ade8a384c2b89083. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Check the current branch:
Switch to the main branch:
Pull the latest changes from origin/main with --prune to remove stale remote-tracking branches:
Permission review
The documentation asks the agent to run terminal commands or scripts.
git branch --show-currentThe documentation asks the agent to run terminal commands or scripts.
git switch mainEvidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 66/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 1,263 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | catalog record | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Switch to the main branch and pull the latest changes from origin/main while pruning stale remote-tracking references.
Check the current branch:
git branch --show-current
If already on main, note it for the final report.
Switch to the main branch:
git switch main
Pull the latest changes from origin/main with --prune to remove stale remote-tracking branches:
git pull --prune
Summarize the operation:
Alternatives
coreyhaines31/marketingskills
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
coreyhaines31/marketingskills
When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers o
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.