How do I install the Dacp Assembler skill?

Run npx skillmds add majiayu000/dacp-assembler 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 Dacp Assembler safe to use?

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

Which AI agents work with Dacp Assembler?

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 Dacp Assembler free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Dacp Assembler?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dacp Assembler by majiayu000 — Agent Skill

Name: Dacp Assembler
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

DACP Assembler

Compose deterministic agent communication bundles from skill library artifacts.

When to Use

Handing off work between agents (task assignment, verification, escalation)
Packaging structured data with executable scripts for a receiving agent
Upgrading prose-only messages to structured bundles for reliability

Quick Start

Classify handoff -- identify the handoff type from the taxonomy
Check drift -- look up historical drift rate for this pattern
Determine fidelity -- run the decision model (Level 0-3)
Search catalog -- find matching scripts and schemas
Compose bundle -- assemble intent + data + code at the decided level

Fidelity Levels

Level	Name	Contents
0	PROSE	Intent markdown only
1	PROSE_DATA	Intent + structured JSON data
2	PROSE_DATA_SCHEMA	Intent + data + JSON Schema validation
3	PROSE_DATA_CODE	Intent + data + schemas + executable scripts

For detailed criteria and decision tree, see @references/fidelity-levels.md

Assembly Process

Receive handoff request with intent, data, and context
Assess data complexity (none / simple / structured / complex)
Count available skills from catalog
Build fidelity decision input from request + computed values
Run determineFidelity() to get proposed level
Apply SAFE-02 clamping if changing from current level (max 1 step)
Compose artifacts at the decided level
Record assembly rationale (justification, skills, artifacts)
Build manifest with provenance metadata

For worked examples at each level, see @references/assembly-patterns.md

Handoff Types

task-assignment, verification-request, data-transformation
configuration-update, research-handoff, status-report
question-escalation, patch-delivery

Full taxonomy at @references/handoff-taxonomy.md

Safety Boundaries

No code generation -- assembler selects from existing catalog entries, never generates code
Size limits -- 50KB data payloads, 10KB scripts, enforced at bundle creation
Bounded learning -- max 1 fidelity level change per cycle (SAFE-02)
Mandatory provenance -- every script must have source skill + version

---name: dacp-assemblerdescription: Composes three-part DACP bundles from skill library artifacts. Determines fidelity level, queries catalog, and records assembly rationale.--- # DACP Assembler Compose deterministic agent communication bundles from skill library artifacts. ## When to Use - Handing off work between agents (task assignment, verification, escalation) - Packaging structured data with executable scripts for a receiving agent - Upgrading prose-only messages to structured bundles for reliability ## Quick Start 1. **Classify handoff** -- identify the handoff type from the taxonomy 2. **Check drift** -- look up historical drift rate for this pattern 3. **Determine fidelity** -- run the decision model (Level 0-3) 4. **Search catalog** -- find matching scripts and schemas 5. **Compose bundle** -- assemble intent + data + code at the decided level ## Fidelity Levels | Level | Name | Contents | |-------|------|----------| | 0 | PROSE | Intent markdown only | | 1 | PROSE_DATA | Intent + structured JSON data | | 2 | PROSE_DATA_SCHEMA | Intent + data + JSON Schema validation | | 3 | PROSE_DATA_CODE | Intent + data + schemas + executable scripts | For detailed criteria and decision tree, see @references/fidelity-levels.md ## Assembly Process 1. Receive handoff request with intent, data, and context 2. Assess data complexity (none / simple / structured / complex) 3. Count available skills from catalog 4. Build fidelity decision input from request + computed values 5. Run `determineFidelity()` to get proposed level 6. Apply SAFE-02 clamping if changing from current level (max 1 step) 7. Compose artifacts at the decided level 8. Record assembly rationale (justification, skills, artifacts) 9. Build manifest with provenance metadata For worked examples at each level, see @references/assembly-patterns.md ## Handoff Types - task-assignment, verification-request, data-transformation - configuration-update, research-handoff, status-report - question-escalation, patch-delivery Full taxonomy at @references/handoff-taxonomy.md ## Safety Boundaries 1. **No code generation** -- assembler selects from existing catalog entries, never generates code 2. **Size limits** -- 50KB data payloads, 10KB scripts, enforced at bundle creation 3. **Bounded learning** -- max 1 fidelity level change per cycle (SAFE-02) 4. **Mandatory provenance** -- every script must have source skill + version

Frequently asked questions