Agent Skills: using-hyper

<skill_overview> Skills are mandatory when they apply, and substantial work must stay grounded in local task docs. </skill_overview>

<rigidity_level> HIGH FREEDOM - The meta-process is rigid: check for skills, read them from disk, announce usage, and keep work anchored in plans/active/. </rigidity_level>

<quick_reference>

1. Check if any skill applies.
2. Read the relevant SKILL.md from disk.
3. Announce which skill you are using.
4. For substantial work, create or resume a local plans/active/<slug>/.
5. Keep plan.md, context.md, and tasks.md current. </quick_reference>

<when_to_use>

• At the start of every conversation
• Before starting any non-trivial task
• Before editing skills, hooks, docs, or code </when_to_use>

<the_process>

1. Check for skills first

• If a skill matches, use it.
• Never rely on memory; read the file from disk.
• Announce the skill before acting.

2. Ground large work in task docs

For features, rewrites, and multi-step tasks:

• brainstorming shapes the work
• writing-plans distills it into task docs
• executing-plans implements the current Now slice

Use:

• plans/active/<slug>/plan.md
• plans/active/<slug>/context.md
• plans/active/<slug>/tasks.md

These task directories are local working state. Delete the finished directory instead of archiving it.

3. Treat the docs as distinct tools

• plan.md is the approved intent and acceptance contract
• context.md is the living discovery log
• tasks.md is the rolling execution backlog

4. Verify before claiming completion

Use verification-before-completion before any completion claim. </the_process>

<why_it_fails>

• The plan drifts out of memory
• Implementation learns things that never get written down
• Resumption after compaction becomes guesswork </why_it_fails>

<why_it_fails>

• Skills evolve
• Important steps get skipped
• The user cannot tell whether the workflow was actually followed </why_it_fails>