From storyhook
Use at session start or whenever you need to understand project state -- open stories, priorities, blockers, and next recommended task. Shows project overview and surfaces the most important work.
How this skill is triggered — by the user, by Claude, or both
Slash command
/storyhook:storyhook-contextThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Get a comprehensive view of current project state.
Get a comprehensive view of current project state.
Before running any story command, confirm the CLI is installed by running command -v story. If it is missing, follow references/ensure-cli.md: tell the user, ask permission to install (via AskUserQuestion), and if approved use the storyhook-install skill before continuing. Do not run story commands until this check passes.
Run story context to get the full project overview in markdown format. This includes open stories, their states, priorities, and relationships.
Run story next --count 3 --json to get the top three recommended stories to work on. The next command considers priority, dependencies (blocked stories are excluded), and staleness.
Present a brief summary to the user:
If the user invoked this skill with --full or asked for detailed context:
story graph --critical-path to show the longest dependency chain and identify bottleneck storiesstory list --blocked to enumerate all blocked stories and their blockersstory list --stale 3d to find stories that have not been updated in 3 daysnpx claudepluginhub mikeydotio/storyhook --plugin storyhookProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.