Everything gald3r can do

.gald3r/ project structure

PROJECT.md, TASKS.md, BUGS.md, PLAN.md, DECISIONS.md, CONSTRAINTS.md

File-first (no cloud)

Everything lives in your repo. Commits with your code.

FSL-1.1-Apache license posture

Public releases are fair-source licensed; private/internal repos remain proprietary.

Git-native workflow

No accounts, no databases, no telemetry

PROJECT.md session injection

Agents read mission, goals, and constraints at start

CONSTRAINTS.md enforcement

Hard rules agents check before marking tasks done

DECISIONS.md audit trail

Append-only log of architectural choices and rationale

TASKS.md master index

Single source of truth for all work items

Individual task files

tasks/ folder with spec, acceptance criteria, status history

Status lifecycle

pending → in-progress → awaiting-verification → complete

Priority + dependency system

Critical/High/Medium/Low; blocked-by dependencies

Subsystem ownership

Tasks linked to subsystem specs for ownership tracking

Sprint/batch planning

Complexity scoring and sprint load estimation

Adversarial implement/verify split

The agent that writes code cannot mark it done

@g-go-code implement command

Structured autonomous implementation loop

@g-go-review verify command

Independent verification in a fresh session

Acceptance criteria gate

Agent walks every AC item before marking [🔍]

Bug-discovery gate

Pre-existing bugs must be logged before task can close

Stub/TODO scan

Implementation scanner blocks tasks with unresolved TODOs

Task management skill

g-skl-tasks: create, update, status transitions

Bug tracking skill

g-skl-bugs: BUGS.md + bugs/ lifecycle

Feature management skill

g-skl-features: staging → specced → committed → shipped

Code review skill

g-skl-code-review: security, quality, performance review

Git commit skill

g-skl-git-commit: conventional commits with task refs

Project health skill

g-skl-medkit: detect and repair .gald3r/ structure

Status skill

g-skl-status: session context, active tasks, phase

Recon & research suite

g-skl-recon-repo/url/docs/yt/file + res-review → res-deep → res-apply

Knowledge vault + ingestion

Obsidian-compatible vault, platform-doc crawl, URL and YouTube ingestion

Project topology linking

Parent/child/sibling project registration

Cross-project task ordering

@g-pcac-order: push tasks from parent to child

Child-to-parent requests

@g-pcac-ask: blocked tasks request parent action

FYI notifications

@g-pcac-notify: lightweight cross-project messaging

Sibling contract sync

@g-pcac-sync: advisory peer-to-peer coordination

Spawn child project

@g-pcac-spawn: create new gald3r project linked to parent

File/asset transfer

@g-pcac-move / @g-pcac-send-to: cross-repo asset migration

Event hooks

Trigger scripts on agent events: session start, task done, commit

Pre-built hooks

g-hk-setup-user, g-hk-validate-shell, and the shared Python hook core

42 MCP tools

Unified server exposed to all AI agents via Docker

Agent memory — semantic search

memory_search: vector search across all sessions

Agent memory — session capture

memory_capture_session: AI self-reports summaries

MediaWiki integration

mediawiki_page, mediawiki_search: full wiki R/W

Oracle DB tools

oracle_query, oracle_execute: source + target DB access

Platform docs search

platform_docs_search: crawled Cursor/Claude/Gemini docs

Project health scoring

gald3r_health_report: 0–100 score with per-subsystem breakdown

Docker Compose runtime

Runs locally, no cloud required

38 AI coding tools

One install activates gald3r across every supported tool — Cursor, Claude Code, Gemini, Codex, OpenCode, Copilot, Zed, Kimi Code, and 30 more

6 at full parity

Cursor, Claude Code, Gemini, Codex, OpenCode, and GitHub Copilot share identical agents, skills, commands, and task state

Same skills/agents/commands across IDEs

Install gald3r once, use everywhere — .cursor/, .claude/, .codex/, .gemini/, .opencode/ parity maintained

Cross-IDE session handoff

Start in Cursor, continue in Claude Code — state lives in .gald3r/, not the IDE