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trmnl-cal-weather
trmnl-cal-weather contains 8 collected skills from guplem, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Create a well-structured GitHub issue with duplicate detection, code verification, and auto-labeling. Use whenever the user asks to create, file, open, log, or raise a GitHub issue, in any wording.
Implement a GitHub issue step by step - ask about the branch, the PR target, and the phases first, then run the work and the review cycle with the review-pr skill. Use whenever the user asks to implement, work on, or execute a GitHub issue.
Review a GitHub pull request and post one clear review, with inline comments. The default is collaborative - you analyze deeply, explain the changes in simple terms, ask the user about each finding, and post a review that reflects their decisions. Use when the user asks to review a PR. --no-verdict = programmatic COMMENT-only mode that also writes .reviews/<PR_NUMBER>-review.md (used by implement-issue). --autonomous = unattended review that posts a formal verdict.
Shape git commits well - atomic one-concern commits, conventional-commit subjects, why-focused bodies, and a branch history that reads as a clear story. Use when composing commits.
Create a git branch from a base and set its upstream at once, so a later push can never land on the base branch. Use when starting work that needs its own branch.
Root-cause a bug or a failed fix with evidence, not guesses - brainstorm causes, research them in parallel, confirm one with logs before changing code. Use when a reported behavior needs root-causing or a fix attempt has failed.
Rename or refactor a symbol safely by searching every naming-case variant across code, tests, docs, configs, and JSON. Use when renaming any identifier so no reference is missed.
Author or edit AI-facing instruction files in this repo - AGENTS.md, skills under .claude/skills/, subagents under .claude/agents/, and spawned-agent prompts. Covers the prompt-writing rules for current Claude models, the map-not-manual standard for AGENTS.md, the living-document rule, and when and where to persist a new rule. Use when editing any AI-instruction file.