Tristan A.
Community@TrayMachi · Indonesia
Software Engineer | Mobile Developer | Computer Science Student
Agent Skills by Tristan A.
Showing 58 vetted skills indexed across 1 GitHub repositories.
TrayMachilark-mail
Compose, send, read, and manage Feishu mailbox emails via the lark-cli command line.
TrayMachidefuddle
Extract clean markdown content from web pages using the Defuddle CLI.
TrayMachicaveman-help
Displays a quick-reference card of caveman modes, skills, and deactivation triggers.
TrayMachilark-minutes
Search, download, upload, and edit Feishu Minutes recordings via lark-cli.
TrayMachisetup-pre-commit
Configures Husky pre-commit hooks with lint-staged, Prettier, typecheck, and tests.
TrayMachilark-openapi-explorer
Discovers native Feishu/Lark OpenAPI endpoints from official documentation and invokes them via lark-cli.
TrayMachilark-skill-maker
Creates reusable SKILL.md skills that wrap lark-cli Feishu API operations.
TrayMachilark-calendar
Manage Lark calendar events, attendees, freebusy queries, and meeting room bookings via lark-cli.
TrayMachilark-workflow-standup-report
Generates daily schedule and pending task summaries from Lark calendar and task APIs.
TrayMachilark-wiki
Manage Lark wiki spaces, members, and document nodes via lark-cli commands.
TrayMachicaveman-review
Generates one-line code review comments with location, severity, problem, and fix.
TrayMachilgtm
Merges approved GitHub pull requests and removes their remote branches and linked worktrees.
TrayMachilark-markdown
Create, fetch, patch, overwrite, and diff Markdown files in Lark Drive via lark-cli.
TrayMachihandoff
Generates a conversation handoff document for continuing work in a new agent session.
TrayMachicaveman-compress
Compress natural language memory files into terse caveman format to reduce input tokens.
TrayMachiobsidian-markdown
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, and properties.
TrayMachilark-note
Queries Feishu meeting note details and unified transcripts by note_id via lark-cli.
TrayMachicreate-mr
Create GitLab merge requests with glab and announce them in Lark code-review chats.
TrayMachilark-okr
Manage Lark OKR cycles, objectives, key results, alignments, and progress records via lark-cli.
TrayMachiimprove-codebase-architecture
Identifies shallow modules and proposes deepening refactors rendered as an HTML architecture review report.
TrayMachifind-skills
Searches and installs agent skills from the open skills ecosystem via the Skills CLI.
TrayMachiqa
Files durable GitHub issues from conversational bug reports during interactive QA sessions.
TrayMachilark-doc
Read, create, and edit Feishu Docx and Wiki documents via the lark-cli v2 API.
TrayMachidiagnose
Diagnose bugs and performance regressions through a structured reproduce-hypothesise-fix workflow.
Frequently Asked Questions About Tristan A.
FAQPage SchemaWhat tasks can I accomplish with Tristan A.'s Lark skills?▼
The lark-* skill family covers Feishu mail, calendar, docs, sheets, Base tables, slides, wiki, Drive storage, IM messaging, video meetings, minutes transcription, tasks, OKRs, approvals, attendance, contacts, and real-time event streaming. Composite skills also generate standup reports and meeting summaries by orchestrating multiple Lark endpoints.
Who are these skills designed for?▼
Software engineers and mobile developers working in Lark/Feishu-based organizations, plus developers who want disciplined Git workflows (TDD, conventional commits, PR/MR creation), token-efficient agent sessions via caveman compression, and Obsidian vault management from the command line.
What are the prerequisites for running these skills?▼
All lark-* skills require the lark-cli binary installed and authenticated via lark-shared auth login. Git lifecycle skills like ship and lgtm require git plus the GitHub CLI (gh) or GitLab CLI (glab). Obsidian skills require the Obsidian CLI and an existing vault.
How do the caveman skills reduce token usage?▼
Caveman mode compresses agent speech by roughly 75% with lite/full/ultra and wenyan intensity levels, caveman-compress rewrites memory files into dense format with backups, caveman-review emits one-line PR comments, and caveman-stats reads real session logs to report actual token savings.
Can I extend or create new skills in this registry?▼
Yes. The write-a-skill skill scaffolds new agent skills with proper structure and progressive disclosure, lark-skill-maker wraps Feishu API operations into reusable lark-cli skills, and lark-openapi-explorer discovers native Feishu OpenAPI endpoints not yet covered by existing commands.