time-helper
Provide accurate current time by calling get_time tool.
Browse published AI skills maintained by aevatarAI. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
19Repository stars across indexed skills
209Repository forks
133Average repository stars per indexed skill
11Repository stars may repeat across skills from the same repository.
Provide accurate current time by calling get_time tool.
Browse local workspace files via MCP filesystem tools (docker-fs).
Read a small snippet of a text file using file_read.
Maintain a structured Setup/Payoff ledger (promises, debts, payoffs) and generate a payoff roadmap.
Compute text stats via text_stats tool.
Define what the Story Control Panel shows, how to compute signals, and how the author should act on alerts.
Lookup up-to-date library docs via Context7 MCP (resolve-library-id / get-library-docs).
Evaluate arithmetic expressions precisely by calling py_calc (python-file tool).
Govern canon changes: require explicit reason/impact/retroactive policy, and produce an actionable propagation plan.
Provide accurate current time by calling get_time tool.
Read environment variables via get_env tool (mask secrets).
Convert text to URL-friendly slug via slugify tool.
Grep the workspace for a pattern using file_search.
Help the author write narrative unit tests (rules/constraints) and interpret failures with a concrete fix roadmap.
Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.
Simulate multiple reader personas to score a chapter (爽点/困惑/信息负荷) and propose actionable alternatives.
Pretty-print JSON via json_prettify tool.
Aggregate a writing session into a readable log + a reusable author-intent prompt.
Manage rewrite branches: when to branch, how to compare, and how to merge back with minimal chaos.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.