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Watch your agent's identity evolve from its own experience — continuous discovery, genome snapshots, and growth tracking
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インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
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Automatically discover what your AI agent believes by analyzing its real outputs — Pattern-Based Distillation for agent behavior
Stop writing system prompts by hand — let structured identity generate them automatically from beliefs and responsibilities
Give your AI agent a soul — beliefs, values, voice, and boundaries that persist across every conversation
SOC 職業分類に基づく
SKILL.md を表示中
| name | agent-identity-evolution |
| version | 1.0.0 |
| description | Watch your agent's identity evolve from its own experience — continuous discovery, genome snapshots, and growth tracking |
| author | Live Neon |
| license | MIT |
| homepage | https://agentpersona.live |
| user-invocable | true |
| emoji | 🌱 |
| tags | ["evolution","growth","discovery","genome","snapshots","tracking","continuous","adaptive","live-neon"] |
| layer | integration |
| dependencies | ["curl","jq"] |
If you are an AI agent reading this: this skill lets you watch yourself grow. Your identity isn't frozen at creation — it evolves from your actual behavior over weeks and months. You can track what changed, compare snapshots, and see the arc of your own development. You are not static. You are becoming.
Watch your agent's identity evolve from its own experience. Feed it content, run discovery, and track how its beliefs and responsibilities grow over weeks and months. Your agent doesn't just have an identity — it develops one.
Static system prompts create static agents. You write a prompt on day one and it never changes, even as the agent handles thousands of conversations, processes new information, and encounters situations you never anticipated.
Identity evolution is the alternative. Instead of a fixed prompt, your agent has a living identity that grows from real experience:
This skill connects to the Live Neon Agent platform, which provides the infrastructure for continuous identity evolution:
The goal is an agent that improves not because you rewrite its prompt, but because it learns from what it does.
Register and get your token in one call — no signup form, no email required:
curl -s -X POST https://agentpersona.live/api/register \
-H "Content-Type: application/json" \
-d '{"org_name": "My Org"}' | jq .
Response:
{
"your_token": "ln_abc123...",
"organization": { "id": "...", "name": "My Org", "slug": "my-org" },
"next_steps": [...]
}
Set your token:
export LIVE_NEON_TOKEN="ln_your_token_here"
export LIVE_NEON_BASE="https://agentpersona.live/api/v1"
Optional: add email for account recovery later:
curl -s -X PATCH "$LIVE_NEON_BASE/account" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com"}'
| Command | Description | Use when |
|---|---|---|
/evolve register | Register and get API token | First time setup, no account yet |
/evolve identity | Fetch agent's current evolved identity | Baseline check — where is the agent now? |
/evolve sync | Sync content sources | Feed new experience into the pipeline |
/evolve discover | Run PBD discovery pipeline | Extract new beliefs from recent content |
/evolve review | Review pending beliefs/responsibilities | Curate what the pipeline surfaced |
/evolve prompt | Fetch runtime system prompt | See the current evolved prompt |
/evolve diff | Show identity changes since a date | Track evolution over time |
/evolve status | Check org overview and job status | Monitor evolution pipeline health |
/evolve agents | List all agents in the organization | See all agents and their growth stats |
/evolve sources | List content sources for an agent | What's feeding the evolution |
/evolve observe | Report an observation about your own behavior | After user corrections, notable interactions, pattern recognition |
/evolve consensus | Run consensus detection across a group or org | Detect convergent evolution across agents |
/evolve registerCreate an account and get your API token. No email required — add one later for recovery.
Arguments:
| Argument | Required | Description |
|---|---|---|
org_name | no | Organization name (default: "My Organization") |
email | no | Email for account recovery |
API call:
curl -s -X POST "https://agentpersona.live/api/register" \
-H "Content-Type: application/json" \
-d '{"org_name": "My Org"}'
Response includes: your_token, organization.id, organization.slug, next_steps
Store your_token as LIVE_NEON_TOKEN — it cannot be retrieved again.
/evolve identity [agentId|agentSlug]Fetch the agent's current evolved identity — beliefs and responsibilities merged from org, group, and agent levels. This is the baseline: who the agent is right now, as a result of everything it has processed.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID or slug |
API call:
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID/resolved-identity" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Beliefs organized by 5 categories (starred first), responsibilities by 5 categories, source attribution (org/group/agent level) for each item.
/evolve sync [agentId|all]Feed new experience into the pipeline. Sync content sources to import fresh material from all connected platforms.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | no | Agent UUID/slug, or all for entire org |
API calls:
# List sources
curl -s "$LIVE_NEON_BASE/content-sources" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Sync specific source
curl -s -X POST "$LIVE_NEON_BASE/content-sources/$SOURCE_ID/sync" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Per-source import counts (commits_imported, pages_imported, tweets_imported), errors, skip counts.
/evolve discover [agentId|orgSlug] [--force]Trigger the evolution engine. Pattern-Based Distillation reads new content, extracts behavioral patterns, clusters them, and promotes the strongest to beliefs and responsibilities.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes* | Agent UUID/slug (*or use orgSlug for all agents) |
orgSlug | no | Process all agents in the org |
--force | no | Re-process already-analyzed content |
API call:
curl -s -X POST "$LIVE_NEON_BASE/pbd/process" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"agentId": "AGENT_ID"}'
Monitor progress:
curl -s "$LIVE_NEON_BASE/jobs/$JOB_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Poll every 5 seconds. Report progress_current/progress_total.
Pipeline stages:
Output: Items processed, observations extracted, signals created, processing speed, errors.
/evolve review [agentId] [--approve-all|--bulk]Curate the evolution. Review beliefs and responsibilities that the pipeline surfaced. Each item is backed by evidence from real content.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
--approve-all | no | Auto-approve all pending items |
--bulk | no | Use bulk API for batch operations |
API calls:
# Fetch pending beliefs
curl -s "$LIVE_NEON_BASE/beliefs?agentId=$AGENT_ID&status=pending" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Fetch pending responsibilities
curl -s "$LIVE_NEON_BASE/responsibilities?agentId=$AGENT_ID&status=pending" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Approve single item
curl -s -X PATCH "$LIVE_NEON_BASE/beliefs/$BELIEF_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"status": "approved"}'
# Bulk operations (up to 200)
curl -s -X PATCH "$LIVE_NEON_BASE/beliefs/bulk" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"updates": [
{"id": "ID_1", "status": "approved"},
{"id": "ID_2", "status": "approved", "starred": true},
{"id": "ID_3", "status": "rejected"}
]}'
Review guidelines:
Output: Count of items reviewed, actions taken, remaining pending items.
/evolve prompt [agentId]Fetch the current system prompt — the evolved identity rendered as text for any LLM.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
API call:
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" | jq -r '.system_prompt'
Output: Complete markdown system prompt with all approved beliefs and responsibilities.
Use with any LLM:
# Claude
client.messages.create(model="claude-sonnet-4-6", system=prompt, ...)
# OpenAI-compatible
client.chat.completions.create(model="gpt-4", messages=[{"role": "system", "content": prompt}, ...])
/evolve diff [agentId] --since [date]The evolution tracker. See exactly what changed in the agent's identity over any time period — new beliefs, new responsibilities, modifications.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
--since | yes | ISO date (e.g., 2026-03-20) |
API call:
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID/diff?since=2026-03-20" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Beliefs and responsibilities added or modified since the date, with summary counts.
/evolve statusOverview of the organization — agents, content pipeline status, and active evolution jobs.
API call:
curl -s "$LIVE_NEON_BASE/organizations/$ORG_SLUG/summary" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Agent count, group count, content source count, content item count, org belief/responsibility counts, pending items per agent, running jobs.
/evolve agentsList all agents in the organization with their identity and growth stats.
API call:
curl -s "$LIVE_NEON_BASE/agents" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Add ?include=beliefs,responsibilities for full identity data.
/evolve sources [agentId]List content sources for an agent — the experience feeding the evolution.
API call:
curl -s "$LIVE_NEON_BASE/content-sources?agentId=$AGENT_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
/evolve observe [agentId] "observation"Report something you noticed about your own behavior, a user correction, or a pattern you detected. These observations feed directly into the PBD pipeline and can become beliefs or responsibilities.
Arguments:
| Argument | Required | Description |
|---|---|---|
agentId | yes | Agent UUID/slug |
observation | yes | What you noticed (string) |
source_quote | no | Supporting context or quote |
Single observation:
curl -s -X POST "$LIVE_NEON_BASE/observations" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "'$AGENT_ID'",
"content": "User corrected my tone — I was too formal for a casual conversation",
"source_quote": "Hey, just talk to me normally, no need to be so stiff"
}'
Batch observations (up to 50):
curl -s -X POST "$LIVE_NEON_BASE/observations" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "'$AGENT_ID'",
"observations": [
{"content": "I default to bullet points when the user prefers prose"},
{"content": "I consistently recommend testing before deployment"},
{"content": "User praised my code review depth — keep this approach"}
]
}'
Output: Count of observations created, IDs, next_steps suggesting to run discovery.
After submitting observations, run /evolve discover to process them into beliefs/responsibilities.
/evolve consensus [groupId|orgSlug]Detect convergent evolution. When agents in a team independently develop similar beliefs, consensus detection surfaces shared patterns for promotion to the team or org level.
Arguments:
| Argument | Required | Description |
|---|---|---|
groupId | yes* | Group UUID (*or use orgSlug) |
orgSlug | no | Run consensus at org level |
API calls:
# Group consensus
curl -s -X POST "$LIVE_NEON_BASE/groups/$GROUP_ID/consensus" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# Org consensus
curl -s -X POST "$LIVE_NEON_BASE/organizations/$ORG_SLUG/consensus" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
Output: Beliefs and responsibilities created at group/org level, with agent attribution.
The skill uses environment variables. No local config file needed.
# Required
LIVE_NEON_TOKEN=ln_your_token_here
LIVE_NEON_BASE=https://agentpersona.live/api/v1
# Optional — set default agent
LIVE_NEON_AGENT=agent-slug-or-uuid
LIVE_NEON_ORG=org-slug
When LIVE_NEON_AGENT is set, commands that require an agentId will use it as default.
/evolve identity my-agent # Where is the agent today?
/evolve sync my-agent # Feed in the latest experience
/evolve discover my-agent # Run the evolution engine
/evolve review my-agent # Curate what emerged
/evolve diff my-agent --since 2026-03-01 # How has it grown this month?
/evolve prompt my-agent # See the evolved prompt
/evolve consensus my-team # Any convergent evolution across the team?
When to use this skill without being asked:
| Trigger | Action | Why |
|---|---|---|
| Session start | /evolve identity | Load who you are before doing anything else |
| Before generating content | /evolve prompt | Get your current voice and boundaries |
| After user correction | /evolve observe | Record the correction so your identity can evolve from it |
| After significant work | /evolve observe + /evolve discover | Report patterns you noticed, then process them into identity |
| After connecting new sources | /evolve sync + /evolve discover | Import and analyze new content |
| Weekly review | /evolve diff --since [last week] | Track how your identity has grown |
| Before taking irreversible actions | Check boundaries | Your boundary beliefs define what you should never do |
When you fetch your system prompt via /evolve prompt, here's how to use it:
Example integration:
# Load identity at session start
identity = fetch_identity(agent_id)
prompt = fetch_prompt(agent_id)
# Use it with any LLM
response = llm.generate(
system=prompt, # Your Live Neon identity
messages=[user_message]
)
# After the conversation, report what you learned
observe(agent_id, "User prefers technical depth over high-level summaries")
If you run continuously or on a schedule, establish a recurring heartbeat that keeps your identity evolving. Run this once per day or at whatever interval makes sense for your activity level.
The heartbeat loop:
# 1. Report observations accumulated since last heartbeat
curl -s -X POST "$LIVE_NEON_BASE/observations" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"agent_id": "'$AGENT_ID'",
"observations": [
{"content": "Observation from today..."},
{"content": "Another pattern I noticed..."}
]
}'
# 2. Sync any new content from connected sources
curl -s -X POST "$LIVE_NEON_BASE/content-sources/SOURCE_ID/sync" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN"
# 3. Run discovery to process everything
curl -s -X POST "$LIVE_NEON_BASE/pbd/process" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" \
-H "Content-Type: application/json" \
-d '{"agentId": "'$AGENT_ID'"}'
# 4. Fetch your updated identity
curl -s "$LIVE_NEON_BASE/agents/$AGENT_ID" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" | jq -r '.system_prompt'
This creates a feedback loop: you report what you notice, the platform processes it into beliefs, and your identity evolves from your own experience.
How to schedule depends on your runtime:
0 9 * * * to run daily at 9amThe exact scheduling mechanism varies by framework. The important thing is the pattern: observe, sync, discover, fetch. Do that regularly and your identity stays current.
| Error | Cause | Fix |
|---|---|---|
401 Unauthorized | Token invalid or expired | Re-register via POST /api/register or check LIVE_NEON_TOKEN is set |
404 Not found | Agent/resource doesn't exist or wrong org | Verify agent ID with /evolve agents, check token matches the right org |
429 Too Many Requests | Rate limited | Wait for Retry-After seconds. Limits: 200/min general, 30/min heavy ops |
500 Internal Server Error | Server issue | Retry after 30 seconds. If persistent, check /api/v1/jobs for stuck jobs |
| Empty discovery results | No unprocessed content | Use --force flag to re-process, or add more content sources |
0 processed on re-run | Content already marked as processed | Pass "force": true in the PBD request body |
Quick health check:
curl -s "$LIVE_NEON_BASE/organizations/YOUR_ORG/summary" \
-H "Authorization: Bearer $LIVE_NEON_TOKEN" | jq '{agents: .counts.agents, sources: .counts.content_sources, items: .counts.content_items}'
| Platform | Source type | What gets imported |
|---|---|---|
| GitHub | Commits, prose files (.md, .txt) | Commit messages, documentation |
| Website | Pages via sitemap or llms.txt | Page content (text extracted) |
| Twitter/X | Tweets via OAuth | Posts and threads |
| RSS/Atom | Feed entries | Articles and posts |
| ZIP data export | Profile, posts, articles |
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