Better GitHub Skill — Git skill for Claude Code

better-github-skill: gh, optimized for coding agents

Built from an analysis of **1,843 `gh` calls across real agent sessions**, better-github-skill reduces context window usage and returns agent-optimized output for the GitHub workflows agents run most:

• pr-snapshot returns a PR's full state in one call: metadata, mergeability, checks, files, reviews, and thread counts as a few dozen dense lines, replacing the 3-5 command loop and raw JSON dumps it takes to assemble the same picture.
• pr-threads returns the full review conversation in one call: review bodies, issue comments, and unresolved inline threads, using the resolution state porcelain gh can't surface. Resolved and outdated threads stay out of context by default (the header counts what --all would add), and bodies are truncated at the point of diminishing returns. Snapshot is the PR's state; threads is everything reviewers wrote.
• ci-failures returns the failing jobs, their failed steps, and an error-anchored ~45-line snippet per job; full logs are written to disk and referenced by path, so 10k lines of CI output never enter context. --list shows recent runs with conclusions, replacing the gh run list --json field-guessing that otherwise precedes every drilldown.

For everything the scripts don't cover, agents use raw `gh` directly, and SKILL.md hardens that too: 13 gotchas mined from the same sessions, each a real failure mode (SIGPIPE truncation, exit-code semantics, silent GET→POST flips) with the working alternative, so agents skip the retry loops instead of rediscovering them.

	raw gh loop	with the skill
tool calls per flow	3-5 + retries	1
context consumed	full logs, diffs, JSON dumps	bounded snippets, files on disk
false-error retries	SIGPIPE / exit-code noise	none; exit 0 when the report succeeds
latency	sequential multi-turn	parallel, single turn

Why these three (the data)

The mining covered ~