Loading...
Loading...
Found 4,808 Skills
Use when marking a task as complete, finishing a feature, or claiming a bug is fixed. Ensures functional resolution is verified with evidence before closing.
Fetches Jira ticket context, creates a branch, and drafts an implementation plan
Author RFC documents for proposed technical changes with clear problem framing, options, tradeoffs, and decision path. Use when proposal alignment and review sign-off are needed before implementation; do not use for post-decision implementation-only docs.
Generate and maintain changelogs following Keep a Changelog and Conventional Commits standards. Use when releasing versions, documenting changes, or updating project history.
Generic migration orchestrator that reads CHANGELOG.md to understand and execute version-specific migrations
Multi-agent review of implementation plans. Use after creating a plan but before implementing, especially for complex or risky changes.
Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged.
Progressive context refinement pattern for subagents. Solves the problem of agents not knowing what context they need until they start working. Uses a 4-phase loop: DISPATCH, EVALUATE, REFINE, LOOP.
Browse and search the Hence gallery (hence.sh) to discover projects built with AI coding agents. Use when the user wants inspiration, wants to see what others have built, asks about projects on Hence, or mentions searching for AI-built projects. Triggers on queries like "show me cool projects", "search Hence", "find CLI tools on Hence", or "what are people building with Claude Code".
Orchestrator for the complete talk preparation pipeline (REX or Concept mode). Runs all 6 stages in sequence with human-in-the-loop checkpoints.
Map allegations to contract language and draft a response letter with no unintended admissions.
Multi-AI Parallel Deep Research. Triggered when users need comprehensive research, in-depth study, multi-party comparison, or comprehensive analysis covering multiple dimensions and sources for a certain topic. Suitable for complex topics (technical selection, competitor analysis, industry trends, controversial topics, etc.), not suitable for simple fact queries. Conduct parallel research through multiple AI services, cross-validate, and output a comprehensive report with citations.