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alinaqialinaqi/claude-bootstrap/skills/maggy/SKILL.md

maggy

Skill708 starsChanged 5 months agoMITView on GitHub

Maggy is a local AI engineering command center. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing.

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We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

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    Very specific

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  1. Distinctive:

    Only tickets from your configured trackers reach Execute.

    line 29
  2. Distinctive:

    When you click Execute on a ticket:

    line 105

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Maggy Skill

Maggy is a generic, local AI engineering command center. Install once, point it at your team's issue tracker and codebases, and get:

  • AI-prioritized inbox — ranks open issues by urgency, OKR alignment, and recency
  • One-click Execute — spawns Claude Code locally with iCPG context injected
  • Competitor intelligence — daily AI briefing on your competitive landscape
  • No hardcoding — works for any team, any stack, any issue tracker

⚠️ Execute permission model (important)

Execute currently runs claude -p --dangerously-skip-permissions so the TDD pipeline isn't blocked waiting on approval prompts (subprocess has no terminal). That flag grants Claude full permission to write/edit files and run shell commands inside the target codebase, and the prompt it receives includes content from the issue tracker (which any team member can author).

Hardening already in place:

  • working_dir is validated against the list of codebase roots in ~/.maggy/config.yaml — Claude can't be pointed at arbitrary filesystem paths.
  • Only tickets from your configured trackers reach Execute; no public-internet input flows into the prompt.

Roadmap: move the unconditional flag behind per-codebase config (auto_approve: true|false) so privileged execution becomes opt-in. Until then, treat Execute like git pull && make on any ticket you push the button for — only run it on repos you own, against tickets from authors you trust.

┌──────────────────────────────────────────────────────────────┐
│  maggy               ──────────────┐                          │
│  ├── skills/         ← installed globally → ~/.claude/       │
│  ├── commands/       ← installed globally → ~/.claude/       │
│  ├── scripts/icpg/   ← used by Maggy for context enrichment  │
│  └── maggy/          ← dashboard: run `./install.sh` to use  │
│      ├── src/                                                │
│      │   ├── providers/   ← GitHub / Asana / Linear          │
│      │   ├── services/    ← inbox, competitor, executor      │
│      │   └── api/         ← FastAPI routes                   │
│      └── install.sh                                          │
└──────────────────────────────────────────────────────────────┘

When Maggy Helps

ScenarioHow Maggy helps
Morning triage of 50 open issuesAI ranks them; top items stay top
Implementing a ticketExecute → iCPG-enriched TDD pipeline
"What are competitors shipping?"Daily briefing + filterable news feed
Multiple repos per teamAuto-picks right repo based on ticket content
New team onboardingConfigure via /maggy-init, no code writing

Install and Configure

# One-time install
cd $(cat ~/.claude/.bootstrap-dir)/maggy
./install.sh

# Configure
# Edit ~/.maggy/config.yaml — see maggy/config.example.yaml for the schema

# Credentials
export GITHUB_TOKEN=ghp_...
export ANTHROPIC_API_KEY=sk-ant-...

# Run
python3 -m src.main

# Or from Claude Code:
#   /maggy-init    # interactive wizard
#   /maggy         # launch dashboard

Provider Abstraction

Maggy services never see GitHub/Asana directly — they talk to an IssueTrackerProvider Protocol. Drop-in swap between:

  • GitHubIssuesProvider — scans multiple repos, aggregates open issues, maps "done" → closed
  • AsanaProvider — queries projects, respects workspace scope
  • LinearProvider — stub for future

The same inbox, Execute pipeline, and Competitor features work with any provider.


Execute Pipeline

When you click Execute on a ticket:

  1. Maggy queries the configured iCPG for relevant symbols, blast radius, and prior intents
  2. Picks the right working directory based on ticket keywords + configured codebases
  3. Spawns claude -p --dangerously-skip-permissions in that directory
  4. Runs analyze → write failing tests → implement
  5. Captures output in a session you can follow in the Sessions tab

Because the spawned Claude Code runs in the target repo, it picks up:

  • That repo's CLAUDE.md
  • Your global ~/.claude/CLAUDE.md
  • All bootstrap skills
  • .claude/hooks/, .mcp.json

So Execute gets the full bootstrap experience — not a stripped-down version.


Competitor Intelligence

Generic — works for any domain:

  1. Configure competitors.categories: ["fintech", "embedded-finance"] in ~/.maggy/config.yaml
  2. Click Discover — Claude identifies 12-18 competitors (market leaders, AI-first challengers, vertical specialists)
  3. Maggy monitors their RSS blogs + Google News daily
  4. Daily briefing is generated once per day (cached), regeneratable on demand

Not Included

Maggy MVP is focused. Not shipped:

  • Meeting bot (voice)
  • Slack integration
  • P2P network + session handoff
  • Self-improvement (/improve-maggy)
  • Linear provider (stub only)

These are v2 work.


Files

  • maggy/PLAN.md — architecture rationale
  • maggy/README.md — user docs
  • maggy/src/providers/base.py — IssueTrackerProvider Protocol
  • maggy/src/services/executor.py — TDD pipeline
  • maggy/src/services/competitor.py — discovery + briefing
  • maggy/src/services/inbox.py — AI prioritization
  • commands/maggy.md — /maggy launcher
  • commands/maggy-init.md — /maggy-init setup wizard

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