nonebot-dicepp
QQ dice bot deployment, testing, and release workflows
All Skills in This Repository (21)
Pure Emerald Level Indicatorsgit-commit-brief
Standardize local git commit messages to Conventional Commits format.
backlog-implement
Guide implementer agents through verification, approval, and backlog closure.
review1-raise
Generate structured adversarial review findings from a local Git diff.
review3-confirm
Confirm Review-Reply items into consensus, deferment, denial, or clarification states.
review4-execute
Executes finalized consensus implementation entries from a review document after validation and tests.
backlog-check
Validate and prune obsolete entries in docs/dev/backlog.md.
backlog-add
Convert unstructured reports and notes into validated backlog entries.
dicepp-shell
Test DicePP chat commands in named sessions with fixed dice sequences.
onboard
Map DicePP repository structure and key file entry points for contributors.
review5-accept
Re-examine code diffs against a finalized review document for stage-5 acceptance.
toolchain-review
Reviews session context and writes a timestamped P0/P1/P2 severity report to .temp/report.
pr-create
Push a feature branch and generate a GitHub Pull Request from commit history.
Frequently Asked Questions
FAQPage SchemaHow to install nonebot-dicepp?▼
Run `npx skills add pear-studio/nonebot-dicepp --all -g -y` in your terminal to install all skills in this suite globally.
What is DicePP used for?▼
DicePP is a QQ chat bot for tabletop role-playing games, offering dice rolling, character cards, initiative tracking, and rule lookups, managed through a web dashboard.
How do I deploy or update the DicePP bot?▼
The version-deploy and deploy-docker skills handle confirmed Docker Compose upgrades on Linux and Portable ZIP updates on Windows, with health checks and safe failure handling.
Can I verify bot commands before releasing?▼
Yes. The dicepp-shell skill runs an isolated bot session where you send real chat commands and check actual replies, with fixed dice results for repeatable tests.
Does it support structured code review?▼
Yes. A five-stage review pipeline (raise, reply, confirm, execute, accept) produces documented, consensus-driven code reviews with backlog archiving for deferred items.
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