Files
uroma b60638f0a3 Add community skills, agents, system prompts from 22+ sources
Community Skills (32):
- jat: jat-start, jat-verify, jat-complete
- pi-mono: codex-cli, codex-5.3-prompting, interactive-shell
- picoclaw: github, weather, tmux, summarize, skill-creator
- dyad: 18 skills (swarm-to-plan, multi-pr-review, fix-issue, lint, etc.)
- dexter: dcf valuation skill

Agents (23):
- pi-mono subagents: scout, planner, reviewer, worker
- toad: 19 agent configs (Claude, Codex, Gemini, Copilot, OpenCode, etc.)

System Prompts (91):
- Anthropic: 15 Claude prompts (opus-4.6, code, cowork, etc.)
- OpenAI: 49 GPT prompts (gpt-5 series, o3, o4-mini, tools)
- Google: 13 Gemini prompts (2.5-pro, 3-pro, workspace, cli)
- xAI: 5 Grok prompts
- Other: 9 misc prompts (Notion, Raycast, Warp, Kagi, etc.)

Hooks (9):
- JAT hooks for session management, signal tracking, activity logging

Prompts (6):
- pi-mono templates for PR review, issue analysis, changelog audit

Sources analyzed: jat, ralph-desktop, toad, pi-mono, cmux, pi-interactive-shell,
craft-agents-oss, dexter, picoclaw, dyad, system_prompts_leaks, Prometheus,
zed, clawdbot, OS-Copilot, and more
2026-02-13 10:58:17 +00:00

6.2 KiB

name, description, metadata
name description metadata
jat-start Begin working on a JAT task. Registers agent identity, selects a task, searches memory, detects conflicts, reserves files, emits IDE signals, and starts work. Use this at the beginning of every JAT session.
author version
jat 1.0

/skill:jat-start - Begin Working

One agent = one session = one task. Each session handles exactly one task from start to completion.

Usage

/skill:jat-start                    # Show available tasks
/skill:jat-start task-id            # Start specific task
/skill:jat-start AgentName          # Resume as AgentName
/skill:jat-start AgentName task-id  # Resume as AgentName on task

Add quick to skip conflict checks.

What This Does

  1. Establish identity - Register or resume agent in Agent Registry
  2. Select task - From parameter or show recommendations
  3. Search memory - Surface context from past sessions
  4. Review prior tasks - Check for duplicates and related work
  5. Start work - Reserve files, update task status
  6. Emit signals - IDE tracks state through jat-signal

Step-by-Step Instructions

STEP 1: Parse Arguments

Check what was passed: $ARGUMENTS may contain agent-name, task-id, both, or nothing.

# Test if a param is a valid task ID
jt show "$PARAM" --json >/dev/null 2>&1 && echo "task-id" || echo "agent-name"

STEP 2: Get/Create Agent Identity

2A: Check for IDE Pre-Registration

If spawned by the IDE, your identity file already exists:

TMUX_SESSION=$(tmux display-message -p '#S' 2>/dev/null)
PRE_REG_FILE=".claude/sessions/.tmux-agent-${TMUX_SESSION}"
test -f "$PRE_REG_FILE" && cat "$PRE_REG_FILE"

If found, use that name and skip to Step 3.

2B: Register Manually (CLI only)

If no pre-registration file exists, pick a name and register:

# Generate or use provided name
am-register --name "$AGENT_NAME" --program pi --model "$MODEL_ID"
tmux rename-session "jat-${AGENT_NAME}" 2>/dev/null

2C: Write Session Identity

For manual sessions, write the identity file so the IDE can track you:

mkdir -p .claude/sessions
echo "$AGENT_NAME" > ".claude/sessions/agent-${SESSION_ID}.txt"

STEP 3: Select Task

If a task-id was provided, use it. Otherwise, show available work:

jt ready --json | jq -r '.[] | "  [P\(.priority)] \(.id) - \(.title)"'

If no task-id provided, display recommendations and stop here.

STEP 4: Search Memory

Search project memory for relevant context from past sessions:

jat-memory search "key terms from task title" --limit 5

Returns JSON with matching chunks (taskId, section, snippet, score). Use results to:

  • Incorporate lessons and gotchas into your approach
  • Avoid repeating documented mistakes
  • Build on established patterns

If no memory index exists, skip silently.

STEP 5: Review Prior Tasks

Search for related or duplicate work from the last 7 days:

DATE_7D=$(date -d '7 days ago' +%Y-%m-%d 2>/dev/null || date -v-7d +%Y-%m-%d)
jt search "$SEARCH_TERM" --updated-after "$DATE_7D" --limit 20 --json

Look for:

  • Duplicates (closed tasks with nearly identical titles) - ask user before proceeding
  • Related work (same files/features) - note for context
  • In-progress by other agents - coordinate to avoid conflicts

STEP 6: Conflict Detection

am-reservations --json          # Check file locks
git diff-index --quiet HEAD --  # Check uncommitted changes

STEP 7: Start the Task

# Update task status
jt update "$TASK_ID" --status in_progress --assignee "$AGENT_NAME"

# Reserve files you'll edit
am-reserve "relevant/files/**" --agent "$AGENT_NAME" --ttl 3600 --reason "$TASK_ID"

STEP 8: Emit Signals

Both signals are required before starting actual work.

8A: Starting Signal

jat-signal starting '{
  "agentName": "AGENT_NAME",
  "sessionId": "SESSION_ID",
  "taskId": "TASK_ID",
  "taskTitle": "TASK_TITLE",
  "project": "PROJECT",
  "model": "MODEL_ID",
  "tools": ["bash", "read", "write", "edit"],
  "gitBranch": "BRANCH",
  "gitStatus": "clean",
  "uncommittedFiles": []
}'

8B: Working Signal

After reading the task and planning your approach:

jat-signal working '{
  "taskId": "TASK_ID",
  "taskTitle": "TASK_TITLE",
  "approach": "Brief description of implementation plan",
  "expectedFiles": ["src/**/*.ts"],
  "baselineCommit": "COMMIT_HASH"
}'

8C: Output Banner

╔════════════════════════════════════════════════════════════╗
║         STARTING WORK: {TASK_ID}                           ║
╚════════════════════════════════════════════════════════════╝

Agent: {AGENT_NAME}
Task: {TASK_TITLE}
Priority: P{X}

Approach:
  {YOUR_APPROACH_DESCRIPTION}

Asking Questions During Work

Always emit needs_input signal BEFORE asking questions:

jat-signal needs_input '{
  "taskId": "TASK_ID",
  "question": "Brief description of what you need",
  "questionType": "clarification"
}'

Question types: clarification, decision, approval, blocker, duplicate_check

After getting a response, emit working signal to resume.

When You Finish Working

Emit review signal BEFORE presenting results:

jat-signal review '{
  "taskId": "TASK_ID",
  "taskTitle": "TASK_TITLE",
  "summary": ["What you accomplished", "Key changes"],
  "filesModified": [
    {"path": "src/file.ts", "changeType": "modified", "linesAdded": 50, "linesRemoved": 10}
  ]
}'

Then output:

READY FOR REVIEW: {TASK_ID}

Summary:
  - [accomplishment 1]
  - [accomplishment 2]

Run /skill:jat-complete when ready to close this task.

Signal Reference

Signal When Required Fields
starting After registration agentName, sessionId, project, model, gitBranch, gitStatus, tools
working Before coding taskId, taskTitle, approach
needs_input Before asking questions taskId, question, questionType
review When work complete taskId, taskTitle, summary