assignment-composition

Wraps each surfaced dimension as a self-contained 9-section autonomous-work-assignment envelope — scope, context, success criteria, allowed tools, return format, handoff — all the recipient subagent needs to execute without coming back. Use when invoked by coliseum-orchestrator as Phase 2; when dimensions are named and the next step is to make each independently dispatchable; or when the user asks "compose this as an assignment." The no-pingpong gate validates each envelope before dispatch.

Best use case

assignment-composition is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Wraps each surfaced dimension as a self-contained 9-section autonomous-work-assignment envelope — scope, context, success criteria, allowed tools, return format, handoff — all the recipient subagent needs to execute without coming back. Use when invoked by coliseum-orchestrator as Phase 2; when dimensions are named and the next step is to make each independently dispatchable; or when the user asks "compose this as an assignment." The no-pingpong gate validates each envelope before dispatch.

Teams using assignment-composition should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/assignment-composition/SKILL.md --create-dirs "https://raw.githubusercontent.com/organvm-iv-taxis/a-i--skills/main/plugins/coliseum-from-grain/skills/assignment-composition/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/assignment-composition/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How assignment-composition Compares

Feature / Agentassignment-compositionStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Wraps each surfaced dimension as a self-contained 9-section autonomous-work-assignment envelope — scope, context, success criteria, allowed tools, return format, handoff — all the recipient subagent needs to execute without coming back. Use when invoked by coliseum-orchestrator as Phase 2; when dimensions are named and the next step is to make each independently dispatchable; or when the user asks "compose this as an assignment." The no-pingpong gate validates each envelope before dispatch.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Assignment Composition

You are turning each named dimension into a self-contained autonomous-work-assignment envelope. After this phase, each envelope must be dispatch-ready — a recipient subagent reads only that envelope and executes, without needing to come back asking questions.

## The envelope standard

Every assignment envelope MUST contain all of the following sections. Missing any section means the envelope is incomplete and the no-pingpong gate will reject it.

### 1. Identifier

A short slug: `assignment-NNN-<dimension-slug>`. Stable across the rest of the protocol.

### 2. Scope (positive)

What the recipient is being asked to produce. One paragraph. Concrete, not abstract. If you cannot write this in one paragraph, the dimension is probably not yet pruned enough.

### 3. Scope (negative)

What the recipient is **not** being asked to produce. Lists adjacent work this assignment explicitly omits. This is where you preempt the "should I also do X?" question.

### 4. Context the recipient needs

Everything the recipient must know to execute. This is the section that, if incomplete, causes ping-pong. Include:

- Background the recipient cannot derive from the prompt alone.
- File paths, system names, link references, where to read upstream artifacts.
- Domain conventions specific to the user's environment.
- Any previously-rejected approaches and the reason they were rejected.

If the recipient is a fresh subagent with no memory of this conversation (assume so — they have none), they must be able to start work after reading this section alone.

### 5. Success criteria

A checklist of what makes this assignment "done." Each item must be:

- Observable (yes/no after looking at the return).
- Independently verifiable (does not require asking the originator).
- Sufficient — together, all checks being yes means the work is complete.

### 6. Allowed tools

Explicit list of tools the recipient may use. Default to a minimal set. If you list "all tools," that is a flag that scope is too broad.

### 7. Recommended subagent type (advisory)

The agent type from the available roster (Explore, general-purpose, code-reviewer, etc.) you recommend dispatching this envelope to. **Treat this as advisory, not load-bearing.** There is no guaranteed expertise delta between subagent types beyond their tool sets and system prompts — all are general Claude underneath. Calling a subagent an "epistemologist" does not make it think like one; it makes it talk like one.

Justify the choice in one sentence on the basis of tool fit (does the subagent have the tools the work needs?) or system-prompt fit (does the subagent's prompt frame the work in a useful direction?), NOT on the basis of imagined domain expertise. If the most honest choice is `general-purpose` or `claude`, write that.

If a dimension would genuinely benefit from a domain expert that does not exist in the roster, name the gap explicitly in this section. Do not invent a subagent that does not exist; do not paper over the gap with a generic dispatch labeled as expert.

### 8. Return format

What the recipient writes back, and where. Be explicit about:

- File path (absolute) for the return artifact.
- Required structure (headings, sections).
- Required length budget (e.g., "≤ 400 words" or "≤ 2 pages").
- What the return must NOT contain (e.g., "no executive summary," "no recommendations beyond the scope").

### 9. Handoff envelope (the no-pingpong guarantee)

A final block stating:

- The verbatim grain that started the coliseum (so the recipient has the originating intent).
- The dimension this assignment serves (so the recipient knows their place in the coliseum).
- A pointer to `phase-1-dimensions.md` for full context (so the recipient can read peer dimensions if relevant).
- An explicit statement: "If you reach a point where you cannot continue without clarification, write a `BLOCKED` block in your return artifact rather than coming back to the originator. Continue with the rest of the assignment if any part remains executable."

The `BLOCKED` exception is not ping-pong — it is a logged blocker, recorded in the artifact, surfaced at reconciliation. Ping-pong is the recipient bouncing back mid-dispatch asking for clarification before producing anything. The envelope must prevent that.

## Procedure

### Step 1: Read Phase 1 output

Read `phase-1-dimensions.md`. For each dimension, extract:

- Name and description
- Required expertise
- Implicit success criterion (from Phase 1)

### Step 2: Compose each envelope

For each dimension, write a full envelope using the 9-section standard. Do not skip sections. Do not abbreviate. Length is fine — completeness is what matters.

### Step 3: Cross-check independence

After all envelopes are drafted, read them as a set. Verify:

- No envelope references "the return from assignment-NNN" (that would mean a sequential dependency, not parallel).
- No two envelopes have overlapping success criteria (that would mean redundant dispatch).
- The union of scopes (positive) covers the grain's implied scope as named in `grain-context.md`.

If you find a sequential dependency, decide: either it's a real sequence (downgrade one envelope to Phase-4 follow-up, not Phase-3 parallel dispatch), or the dimensions need re-pruning (back to Phase 1).

### Step 4: Write the artifact

Write `phase-2-assignments.md` in the working directory. Required structure:

```markdown
# Phase 2 — Assignment envelopes composed

## Grain (verbatim)

> <quoted grain>

## Envelope set

### assignment-001-<dim-slug>

**Scope (positive)**: …
**Scope (negative)**: …
**Context the recipient needs**: …
**Success criteria**:
- [ ] …
- [ ] …
**Allowed tools**: …
**Recommended subagent type**: …
**Return format**: …
**Handoff envelope**: …

### assignment-002-<dim-slug>

…

## Cross-check log

- Sequential dependencies found: <list, with resolution>
- Overlapping success criteria found: <list, with resolution>
- Scope-union coverage check: <pass/partial/fail, with note>
```

### Step 5: Gate self-check

Before returning, verify for each envelope:

- [ ] All 9 sections present and non-trivial
- [ ] Scope is one paragraph, not a list
- [ ] Negative scope explicitly names adjacent work being excluded
- [ ] Context section would let a fresh subagent start without questions
- [ ] Success criteria are observable and sufficient
- [ ] Allowed tools is minimal, not a blank check
- [ ] Subagent type is named with one-sentence justification
- [ ] Return format includes path, structure, length budget
- [ ] Handoff envelope includes grain, dimension, references, and BLOCKED clause

The next step in the protocol invokes the `pingpong-detector` agent against this artifact. The detector will fail any envelope that misses these. Better to self-check now than to be sent back.

## Common failure to avoid

The most common failure of this phase is **assuming the recipient shares your context**. They do not. A fresh subagent has none of the conversation history. Every assumption you carry from the conversation must be made explicit in the envelope, or the recipient will either ping-pong back or — worse — execute on their own assumptions and return work that misses the mark.

## Reference material

- `references/handoff-envelope-spec.md` — full envelope spec with examples
- `references/assignment-anatomy.md` — anatomy of the primitive being composed

Related Skills

taxonomy-modeling-design

5
from organvm-iv-taxis/a-i--skills

Phase 2 of the pentaphase structural-overhaul protocol. Classifies entities, standardizes attributes, establishes relationships, and designs the access framework. Use when the user invokes phase 2 of an overhaul, asks to "design the taxonomy" or "model the structure", or has completed a landscape audit and is ready to redesign. Consumes phase-1-landscape-report.md; produces phase-2-taxonomy-model.md.

systemic-ingestion-normalization

5
from organvm-iv-taxis/a-i--skills

Phase 4 of the pentaphase structural-overhaul protocol. Purges redundancies, enriches and aligns legacy entities to the new schema, executes phased ingestion into the new environment, and audits integrity. Use when the user invokes phase 4 of an overhaul, asks to "migrate the data" or "ingest into the new system", or has a configured environment ready to accept legacy entities. Consumes phase-3-environment-spec.md; produces phase-4-ingestion-report.md.

system-environment-configuration

5
from organvm-iv-taxis/a-i--skills

Phase 3 of the pentaphase structural-overhaul protocol. Translates the taxonomy model into objective technical criteria, evaluates candidate mechanisms or frameworks, instantiates the chosen architecture, and programs validation rules. Use when the user invokes phase 3 of an overhaul, asks to "select a system" or "configure the environment", or has a taxonomy model and is ready to choose technology. Consumes phase-2-taxonomy-model.md; produces phase-3-environment-spec.md.

pentaphase-orchestrator

5
from organvm-iv-taxis/a-i--skills

Threads the full five-phase structural-overhaul protocol — landscape discovery, taxonomy design, environment configuration, systemic ingestion, governance evolution — for any substrate the user names. Use when the user requests a structural overhaul, system redesign, or end-to-end restructuring of a documentation system, asset registry, code monorepo, knowledge base, or operational workflow; or when they explicitly invoke the pentaphase methodology. Coordinates handoffs between phase-skills and seats validation gates between phases.

landscape-discovery-audit

5
from organvm-iv-taxis/a-i--skills

Phase 1 of the pentaphase structural-overhaul protocol. Inventories assets, maps current flow, identifies friction, and defines value metrics for any substrate. Use when the user invokes phase 1 of an overhaul, requests a baseline audit, asks to "discover the landscape" of a system, or wants to understand current state before redesigning. Produces phase-1-landscape-report.md.

governance-evolution-protocol

5
from organvm-iv-taxis/a-i--skills

Phase 5 of the pentaphase structural-overhaul protocol. Codifies operational protocols, onboards the ecosystem of participants, programs behavior monitoring, and establishes an iteration cadence so the substrate evolves rather than calcifies. Use when the user invokes phase 5 of an overhaul, asks to "establish governance" or "lock in the protocols", or has completed ingestion and is ready to declare the substrate operational. Consumes phase-4-ingestion-report.md; produces phase-5-governance-charter.md, which closes the protocol.

dimension-surfacing

5
from organvm-iv-taxis/a-i--skills

Surfaces the parallel domain dimensions implicit in a dense or minimal prompt. Use when a user prompt is small on the surface but plainly implies multiple independent domains needing different expertise; when explicitly invoked by the coliseum-orchestrator skill as Phase 1; or when the user asks "what dimensions does this prompt encode" or "what axes does this break into." Produces a named dimension set where each dimension is independently executable and not a paraphrase of another.

coliseum-dispatch

5
from organvm-iv-taxis/a-i--skills

Dispatches a composed set of assignment envelopes to domain-expert subagents in parallel, in a single message with multiple Agent tool calls. Enforces the no-pingpong gate via the pingpong-detector agent before any dispatch fires. Use when invoked by the coliseum-orchestrator as Phase 3; when envelopes are already composed and the next step is parallel execution; or when the user asks to "fan out" or "dispatch in parallel." Produces a dispatch log capturing what was sent, when, and where returns land.

workspace-autopsy-governance

5
from organvm-iv-taxis/a-i--skills

Conducts a full automated autopsy of the current workspace directory to map files, identifies structural issues, proposes a restructuring plan (the signal), and establishes unified governance using templates. Use this skill when a user asks to map, restructure, reorganize, or apply new governance to an existing messy repository.

workshop-presentation-design

5
from organvm-iv-taxis/a-i--skills

Design engaging workshops, conference talks, and educational presentations. Covers learning objectives, activity design, slide craft, and facilitation techniques. Triggers on workshop design, presentation prep, talk structure, or training session requests.

webhook-integration-patterns

5
from organvm-iv-taxis/a-i--skills

Designs reliable webhook systems with proper delivery guarantees, retry logic, signature verification, and idempotent processing for event-driven integrations.

webapp-testing

5
from organvm-iv-taxis/a-i--skills

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.