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skill-add
// [Skill Management] Use when you need add new reference files or scripts to a skill.
// [Skill Management] Use when you need add new reference files or scripts to a skill.
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | skill-add |
| version | 2.0.0 |
| description | [Skill Management] Use when you need add new reference files or scripts to a skill. |
| disable-model-invocation | true |
Goal: Add new reference files or scripts to an existing skill directory.
Workflow:
/prompt-enhance on the updated SKILL.mdKey Rules:
.env loading order<!-- SYNC:tag --> inline blocks from sync-inline-versions.md/prompt-enhance on SKILL.md after modifications$1: skill name (required)
$2: reference or script prompt (required)
If $1 or $2 is not provided, ask via AskUserQuestion.
Add new reference files or scripts to .claude/skills/$1 directory.
$2
Explore subagent to explore all internal linksExplore subagentsrepomix to summarize + parallel Explore subagents[IMPORTANT] Use
TaskCreateto break ALL work into small tasks BEFORE starting.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
Shared Protocol Duplication Policy — Inline protocol content in skills (wrapped in
<!-- SYNC:tag -->) is INTENTIONAL duplication. Do NOT extract, deduplicate, or replace with file references. AI compliance drops significantly when protocols are behind file-read indirection. To update: edit.claude/skills/shared/sync-inline-versions.mdfirst, then grepSYNC:protocol-nameand update all occurrences.
AI Mistake Prevention — Failure modes to avoid on every task: Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
IMPORTANT MUST ATTENTION follow duplication policy: inline protocols are INTENTIONAL, never extract to file references
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
IMPORTANT MUST ATTENTION inline shared protocols via <!-- SYNC:tag --> blocks — NEVER use file references
IMPORTANT MUST ATTENTION call /prompt-enhance on updated SKILL.md as final quality pass
IMPORTANT MUST ATTENTION keep reference files under 100 lines each (progressive disclosure)
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.