Installable skillApache-2.0

Team API

Use when the user wants to create or update a Team Topologies Team API document with AI literacy portfolio assessment data — generates a template Team API with literacy levels, discipline scores, shared gaps, and improvement plans, or updates an existing Team API with the latest assessment data

BY Habitat-ThinkingUPDATED Oct 28, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: team-api-d13180db2ef9
description: Use when the user wants to create or update a Team Topologies Team API document with AI literacy portfolio assessment data — generates a template Team API with literacy levels, discipline scores, shared gaps, and improvement plans, or updates an existing Team API with the latest assessment data
---

# Team API

Generate or update a Team Topologies Team API document enriched with
AI literacy portfolio assessment data. The Team API is a document
that describes a team's capabilities, communication preferences, and
service offerings — adding AI literacy data makes the team's
engineering maturity visible to the rest of the organisation.

This skill works in two modes:

- **Update mode**: reads an existing Team API document and adds or
  refreshes the AI literacy section using the latest portfolio
  assessment data
- **Template mode**: generates a new Team API document from the
  template in `references/team-api-template.md`, populated with
  portfolio assessment data

## Input

The skill needs:

- **Portfolio assessment file** — the most recent
  `assessments/*-portfolio-assessment.md`. If none exists, tell the
  user to run `/portfolio-assess` first.
- **Existing Team API file** (optional) — if the user provides a path
  to an existing Team API document, update it. If not, generate from
  the template.
- **Team directory** (optional) — where to write the output. Defaults
  to the current directory.

## Process

### Step 1: Find Portfolio Assessment Data

```bash
ls assessments/*-portfolio-assessment.md 2>/dev/null | sort | tail -1
```

If no file exists, stop and suggest running `/portfolio-assess`.

Read the most recent portfolio assessment and extract:

- Portfolio median level
- Assessment coverage percentage
- Repo detail table (each repo with level and discipline scores)
- Shared gaps
- Improvement plan (organisation-wide items)
- Next assessment date

### Step 2: Check for Existing Team API

Ask the user:

```text
Do you have an existing Team API document to update?

1. Yes — provide the file path
2. No — generate a new one from the template
```

### Step 3a: Update Existing Team API

If the user provides an existing file, read it and look for an
`## AI Literacy` or `## AI Engineering Maturity` section. If found,
replace it with fresh data. If not found, append the section before
the last section of the document (typically "Further Information" or
similar).

The AI Literacy section to insert:

```markdown
## AI Literacy

**Portfolio median level**: LN — Level Name
**Assessment coverage**: N% of repos fully assessed
**Last portfolio assessment**: YYYY-MM-DD
**Next assessment due**: YYYY-MM-DD

### Repo Levels

| Repo | Level | Confidence | Last Assessed |
| --- | --- | --- | --- |
| repo-name | LN | assessed/estimated | YYYY-MM-DD |

### Discipline Scores (assessed repos only)

| Repo | Context | Constraints | Guardrails |
| --- | --- | --- | --- |
| repo-name | N/5 | N/5 | N/5 |

### Active Shared Gaps

| Gap | Repos Affected | Recommended Action |
| --- | --- | --- |
| gap description | N/M | action |

### Current Improvement Focus

[Organisation-wide improvement items from the portfolio assessment,
presented as the team's current AI engineering priorities]
```

Preserve all other sections of the existing Team API untouched.

### Step 3b: Generate New Team API from Template

If no existing file, read `references/team-api-template.md` and
populate it with:

- Team name (ask the user)
- Team type (ask: stream-aligned, enabling, complicated-subsystem,
  or platform)
- The AI Literacy section populated from portfolio assessment data
- Placeholder sections for the user to fill in (communication
  preferences, service offerings, dependencies)

Write to the team directory as `team-api.md`.

### Step 4: Summary

Report what was done:

```text
Team API [created/updated]: path/to/team-api.md

  AI Literacy section: populated from portfolio assessment (YYYY-MM-DD)
  Portfolio median: LN
  Repos covered: N
  Shared gaps: N
  Next assessment: YYYY-MM-DD
```

## What Gets Pulled from Portfolio Assessment

| Portfolio field | Team API field |
| --- | --- |
| Portfolio median level | AI Literacy header |
| Assessment coverage | AI Literacy header |
| Repo detail table | Repo Levels table (simplified) |
| Discipline scores | Discipline Scores table |
| Shared gaps | Active Shared Gaps table |
| Organisation-wide improvements | Current Improvement Focus |
| Next assessment date | Next assessment due |

## What This Skill Does NOT Do

- Does not run `/portfolio-assess` — the data must already exist
- Does not modify the portfolio assessment — it reads, not writes
- Does not fill in non-AI sections of the Team API — those are the
  team's responsibility
- Does not enforce Team Topologies practices — it provides the
  document structure, the team decides how to use it
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.