TokenRollAI

Explicit V3 bootstrap for repositories that do not already have valid llmdoc knowledge.

Default V3 operating skill for llmdoc-enabled projects. Route discovery — exploring the codebase, locating a concept or contract, judging the blast radius of a change — through the llmdoc CLI instead of broad file crawling.

Explicit V3 convergence pass that removes duplicated, fragmented, or low-value reconstructable llmdoc content.

Explicit V3 semantic verification and sync of existing llmdoc knowledge against the current repository.

Explicit V3 bootstrap for repositories that do not already have valid llmdoc knowledge.

Default V3 operating skill for llmdoc-enabled projects. Route discovery — exploring the codebase, locating a concept or contract, judging the blast radius of a change — through the llmdoc CLI instead of broad file crawling.

Explicit V3 convergence pass that removes duplicated, fragmented, or low-value reconstructable llmdoc content.

Explicit V3 semantic verification and sync of existing llmdoc knowledge against the current repository.

Add a new resource type converter to acplugin (e.g., adding support for converting a new Claude Code resource type)

Add support for a new target platform to acplugin (e.g., Windsurf, Zed, etc.)

Publish acplugin to npm with version bump, build, test, and 2FA handling

Publish acplugin to npm with version bump, build, test, and 2FA handling

Add a new resource type converter to acplugin (e.g., adding support for converting a new Claude Code resource type)

Add support for a new target platform to acplugin (e.g., Windsurf, Zed, etc.)

Publish acplugin to npm with version bump, build, test, and 2FA handling

A sample skill for testing conversion

Draft, diagnose, or optimize prompts for current high-performance models across direct response, reasoning, research, creative, coding/artifact, and tool-using agent work. Use when the prompt itself is the artifact or subject of diagnosis: a prompt is…

Synthesize the decisions grill captured into VISION.md (what to build, success criteria) and DOR.md (the readiness checklist before work starts). Use when the context is already clarified and needs writing up as the source of truth and readiness list, or when…

Drive a repo that already has LOOP.md / DOD.md / PROGRESS.md — run the LOOP state machine round after round until everything is done or only blockers remain.

Gather the project's context, then interview the user one question at a time about the decisions they may not realize are open, until every branch is settled and nothing is silently assumed. Prepares the ground for DOR. Use when a goal is still rough and…

Generate the autonomous execution engine from a goal and VISION.md — DOD.md (what counts as done), LOOP.md (how each round runs), and PROGRESS.md (the ledger) — so any agent can pick it up and drive the project round by round. Use when the requirements are…

Turn a rough goal into a set of documents an autonomous agent can run on its own — gather context, grill for the unasked questions, then produce VISION, DOR, DOD, LOOP, and PROGRESS.

分析 Bug 类型 Issue, 定位根因, 并对简单 Bug 自动创建修复 PR。

根据 Issue 的讨论和方案, 实现功能或修复 Bug, 并创建 PR。

Discover and invoke self-described tools through a Tool Bridge gateway using the shortest safe tb CLI path, and use operational feedback when it materially affects a call. Use when an agent needs to find an available organizational tool, inspect an…