How do I install the Canopy Debug skill?

Run npx skillmds@latest add kostiantyn-matsebora/canopy-debug in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Canopy Debug safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Canopy Debug?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Canopy Debug free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Canopy Debug?

kostiantyn-matsebora (@kostiantyn-matsebora) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Canopy Debug by kostiantyn-matsebora

Name: Canopy Debug
Rating: 4.666666666666667 (3 reviews)
Author: kostiantyn-matsebora

Canopy Debug

Trace any Canopy skill with live phase banners and per-node tree tracing. Respects the current mode — in plan mode no changes are applied; in edit mode the skill executes normally.

kostiantyn-matsebora c688560 3 files · 16.6 KB Updated Sep 10, 2026

File contents

Runtime required. This skill uses Canopy tree notation; canopy-runtime must be active.

Detect canopy-runtime — present if either:

canopy-runtime/SKILL.md exists under .claude/skills/, .github/skills/, or .agents/skills/, OR

a canopy-runtime marker block exists in CLAUDE.md or .github/copilot-instructions.md.

If neither is present — install canopy-runtime first (see the compatibility field for the source and install options), then re-invoke this skill.

Do not interpret the ## Tree without canopy-runtime active.

Preamble: parse $ARGUMENTS — first token is target_skill, remainder is skill_args.

Tree

canopy-debug
- IF << $ARGUMENTS is empty or skill name is missing
  - END Usage: /canopy-debug [skill-arguments]
- bind target_skill = first token of $ARGUMENTS
- bind skill_args = remainder of $ARGUMENTS (may be empty)
- detect platform: .claude/skills/ present → claude; .github/skills/ present → copilot
- IF << platform == "claude"
  - Read ../canopy-runtime/SKILL.md for the canopy execution engine overview
  - Read ../canopy-runtime/references/runtime-claude.md for Claude Code runtime rules
  - Read ../canopy-runtime/references/ops.md for the primitive-slice index (load specific slices on demand)
  - Read ../canopy-runtime/references/skill-resources.md for category semantics, op lookup chain, tree format, manifest
- ELSE
  - Read ../canopy-runtime/SKILL.md for the canopy execution engine overview
  - Read ../canopy-runtime/references/runtime-copilot.md for Copilot runtime rules
  - Read ../canopy-runtime/references/ops.md for the primitive-slice index (load specific slices on demand)
  - Read ../canopy-runtime/references/skill-resources.md for category semantics, op lookup chain, tree format, manifest
- Read assets/policies/debug-output.md for debug rendering and animation protocol
- EMIT_PHASE_BANNER << phase=Initialize | skill=target_skill | args=skill_args
- EXECUTE_WITH_TRACE << target_skill | skill_args

Rules

Load assets/policies/debug-output.md before any output — never emit debug output without it
Respect the current Claude Code mode — plan mode means simulate mutations; edit mode means execute normally
Emit banners and tree-state blocks to the stream as Claude narrates; never buffer and emit at end

Response: target_skill | phases_executed | nodes_executed | final_status

---name: canopy-debugdescription: Trace any Canopy skill with live phase banners and per-node tree tracing. Respects the current mode — in plan mode no changes are applied; in edit mode the skill executes normally.license: MIT---> **Runtime required.** This skill uses Canopy tree notation; canopy-runtime must be active.>> **Detect canopy-runtime** — present if either:> - `canopy-runtime/SKILL.md` exists under `.claude/skills/`, `.github/skills/`, or `.agents/skills/`, OR> - a canopy-runtime marker block exists in `CLAUDE.md` or `.github/copilot-instructions.md`.>> **If neither is present** — install canopy-runtime first (see the `compatibility` field for the source and install options), then re-invoke this skill.>> Do not interpret the `## Tree` without canopy-runtime active.Preamble: parse $ARGUMENTS — first token is `target_skill`, remainder is `skill_args`.---## Tree* canopy-debug * IF << $ARGUMENTS is empty or skill name is missing * END Usage: /canopy-debug <skill-name> [skill-arguments] * bind target_skill = first token of $ARGUMENTS * bind skill_args = remainder of $ARGUMENTS (may be empty) * detect platform: `.claude/skills/` present → claude; `.github/skills/` present → copilot * IF << platform == "claude" * Read `../canopy-runtime/SKILL.md` for the canopy execution engine overview * Read `../canopy-runtime/references/runtime-claude.md` for Claude Code runtime rules * Read `../canopy-runtime/references/ops.md` for the primitive-slice index (load specific slices on demand) * Read `../canopy-runtime/references/skill-resources.md` for category semantics, op lookup chain, tree format, manifest * ELSE * Read `../canopy-runtime/SKILL.md` for the canopy execution engine overview * Read `../canopy-runtime/references/runtime-copilot.md` for Copilot runtime rules * Read `../canopy-runtime/references/ops.md` for the primitive-slice index (load specific slices on demand) * Read `../canopy-runtime/references/skill-resources.md` for category semantics, op lookup chain, tree format, manifest * Read `assets/policies/debug-output.md` for debug rendering and animation protocol * EMIT_PHASE_BANNER << phase=Initialize | skill=target_skill | args=skill_args * EXECUTE_WITH_TRACE << target_skill | skill_args## Rules- Load `assets/policies/debug-output.md` before any output — never emit debug output without it- Respect the current Claude Code mode — plan mode means simulate mutations; edit mode means execute normally- Emit banners and tree-state blocks to the stream as Claude narrates; never buffer and emit at end## Response: target_skill | phases_executed | nodes_executed | final_status

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