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lucia-test

The end-to-end acceptance run: understand the brand, inspect its presence, publish something useful, discover third-party conversations, reply to them, work…

Skill by boltaai

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About

The end-to-end acceptance run: understand the brand, inspect its presence, publish something useful, discover third-party conversations, reply to them, work the inbound inbox, verify every external action, review the results, and finally save the whole thing as a scheduled routine. Use this skill when the user asks to "run the Lucia test", "do a full pass", "prove the whole loop works", "end to end test", "exercise everything", or is evaluating whether Bolta can be operated entirely through an AI client. Composite — it delegates each leg to the focused skills.

Use cases: design, testing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/lucia-test

What's inside

Skill name
lucia-test
Description
The end-to-end acceptance run: understand the brand, inspect its presence, publish something useful, discover third-party conversations, reply to them, work the inbound inbox, verify every external action, review the results, and finally save the whole thing as a scheduled routine. Use this skill when the user asks to "run the Lucia test", "do a full pass", "prove the whole loop works", "end to end test", "exercise everything", or is evaluating whether Bolta can be operated entirely through an AI client. Composite — it delegates each leg to the focused skills.
License
MIT
Instructions
147 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# The Lucia Test

One run that exercises Bolta's whole surface through MCP and reports honestly on
what worked, what is platform-limited, and what is missing. It is an acceptance
benchmark, not a demo: **a clean report that names three real gaps is a better
outcome than a green tick that hides them.**

## When to use
Evaluating the product end to end, verifying a deploy, or proving the
skills-first architecture: an external AI client performing sophisticated social
operations with no Agent configured by hand.

## The two milestones
1. **Interactive.** Every leg below completes through MCP tools alone.
2. **Durable.** The same outcome is saved as a routine and runs server-side on a
   schedule — without creating or configuring an Agent.

Report both. The second is the one that proves the architecture.

## Skills this delegates to
| Leg | Skill |
|-|-|
| Publish | social-publishing |
| Reddit discovery + reply | reddit-engagement |
| Threads / Bluesky / Mastodon / X / LinkedIn | cross-platform-engagement |
| Inbound comments and mentions | social-inbox |
| Results | analytics-review |

Read those skills' failure handling rather than re-deriving it here.

## Prerequisites
- `workspace_id` via `list-workspaces`; auth is automatic.
- **Use a workspace whose connected accounts are safe to post from.** This run
  publishes real content and leaves real public replies. Confirm with the user
  which accounts are in scope before anything goes out, and offer a draft-only
  variant that stops before every publish step.
- Owner/admin/creator for the publishing and reply legs.

## Workflow

### 1. Understand the brand
`get-voice-context(workspace_id)` and `get-business-dna(workspace_id)`. Summarize
in two sentences what this brand does, who for, and how it sounds. If the voice
context is empty, say so — everything downstream will be generic and that is a
finding, not a failure to work around.

### 2. Inspect the current presence
`list-accounts`, `list-workspace-posts`, `list-scheduled-posts`,
`list-engagement-capabilities`. Report what is connected, what has been posted
recently, what is queued, and — from the capability matrix — what each platform
can actually do. This is the row-by-row basis for the matrix at the end.

### 3. Publish something useful
Via **social-publishing**. One genuinely useful post, in voice, to an in-scope
account. Confirm before it goes out. Verify with `get-post`.

### 4. Discover third-party conversations
Via **reddit-engagement** (Reddit) and **cross-platform-engagement** (Threads,
Bluesky, Mastodon). Record how many opportunities each platform returned. For X
and LinkedIn, record that discovery is unavailable and take a supplied URL
instead — that is the correct result, not a failure.

### 5. Reply to third-party posts
Draft, get approval, publish, and **verify the canonical URL** on each. One
reply per platform is enough; the point is proving the path, not volume. Apply
the same judgement as the underlying skills — if no thread on a platform deserves
a reply, record that instead of forcing one.

### 6. Inspect inbound
Via **social-inbox**: `list-inbox-items`, summarized by source and platform.

### 7. Reply to inbound
Answer at least one inbound comment or mention, with approval, and verify it
landed. If the inbox is empty, say so — it is a valid state, not a gap.

### 8. Verify every external action
For each public thing this run did, produce a link:
- posts → `get-post`, plus the platform URL where published;
- outbound replies → `get-engagement-status`, canonical URL;
- inbound replies → confirmed send.

**An action with no link is not verified.** Do not report it as done.

### 9. Review results
Via **analytics-review**, scoped to this run's window. Acknowledge openly that
minutes-old posts have no meaningful data — the point is that the pipeline
reports, not that the numbers are interesting yet.

### 10. Save it as a routine — the milestone
This is the step the whole test exists for. Without creating or touching an
Agent:

1. `list-routine-templates()` — show the user the library. This is the whole
   discovery step; the runtime contracts the templates bind to are server-side
   and deliberately not on this surface.
2. `create-routine(template_key="reddit_engagement", name=...,
   goal=<their words>, trigger_type="schedule", schedule={"cron": "0 10 * * 1-5"},
   timezone=..., instructions=..., source_bindings=[...],
   output_config={artifact_type: "reply", count: 3, topics: [...]})`.
3. `activate-routine(routine_id)`.
4. `run-routine-now(routine_id)` to prove dispatch, then
   `list-routine-runs(routine_id)` to see the run.

Then state plainly: *"Run this routine every weekday morning and require
approval for replies"* was satisfied with no Agent configured.

Offer to `pause-routine` afterwards if this was only a test.

### 11. Report the matrix
Finish with a table — one row per capability, filled from what actually happened
in **this** run, not from documentation:

| Capability | Worked? | Evidence | Gap |
|-|-|-|-|
| Understand brand | | voice context loaded | |
| Inspect presence | | N accounts, M posts | |
| Publish | | post URL | |
| Reddit discovery | | N opportunities | |
| Reddit reply | | canonical URL | |

From boltaai/bolta-skills, MIT.

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Last commit (this folder)
Sep 1, 2026 (1 month ago)
Last release
Feb 16, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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lucia-test skill. Agent Mart. https://agentmart.dev/skills/boltaai-lucia-test (last updated 2026-10-24)