Ironclaw

Best practices for code editing, search, and file operations

One-time onboarding for the executive/manager commitment workflow — delegation-heavy, meeting prep, decision capture, morning and evening digests. Creates a `commitments` project and installs two dashboard widgets. After successful setup this skill is excluded from selection until the marker file is deleted.

Structured planning mode for autonomous task execution. Creates plans as MemoryDocs, executes via Missions, tracks progress with live checklist.

Cross-chain DeFi portfolio discovery, rebalancing suggestions, and NEAR Intent construction. Activates when the user pastes a wallet address or asks about yield/positions/rebalancing. Bootstraps a per-user "portfolio" project, aggregates positions across all the user's addresses inside one project, and offers a recurring keeper mission.

QA review for code changes — test coverage analysis, edge case identification, test plan generation, regression detection, test health tracking over time.

Helps users delegate tasks, break them into steps, set deadlines, and track progress via routines and memory.

Build, run, and test IronClaw locally using Docker containers and Chrome MCP browser automation.

Create and structure a new autonomous project — "/new-project <what project does>"

Test the IronClaw web UI using the Claude for Chrome browser extension.

Park interesting ideas for later consideration, resurface them periodically, and promote to commitments when ready.

One-time onboarding for the financial trader workflow — real-time alerts, position-aware relevance, decision journaling with outcome tracking. After successful setup this skill is excluded from selection until the marker file is deleted.

Add a GitHub repository as a tracked project — creates workspace entity, installs workflow automation missions, and includes in dev brief scope.

One-time onboarding for the developer workflow — installs github-workflow missions, creates the commitments workspace, registers per-repo projects, writes calibration memories. After successful setup this skill is excluded from selection until the marker file is deleted.

Install and operate a full GitHub issue-to-merge workflow for any repository using event-driven and cron missions. Handles issue planning, PR monitoring, CI fixing, staging review, and post-merge learning.

Suggests relevant cron routines based on user context, goals, and observed patterns

One-time setup for the commitments tracking system. Creates workspace structure, schema docs, and installs triage and digest missions. Excluded from activation once `projects/commitments/README.md` exists in the workspace (the file this skill writes as its first step).

Detect decisions in conversation and record them with rationale, alternatives, and outcome tracking.

Pre-merge review checklist based on recurring AI reviewer feedback patterns

PR readiness dashboard — tracks which reviews have been completed per branch and gates merge decisions. Shows code review, tests, security, QA, and linting status.

Compose and deliver summaries of open commitments, deadlines, pending signals, and resolution suggestions.

Recognize obligations in conversation, extract signals with immediacy and expiration, create and manage commitments in the workspace.

Detect and track technical debt from conversation and PR review comments. Resurface in weekly retros, promote to commitments when ready to fix.

Track delegated commitments, set follow-up timers, and generate nudge reminders when updates are overdue.

Use when asked to "review the open PRs", review a batch or stack of pull requests, or run a recurring PR-review pass on a repo — especially with many PRs, stacked branches, conflicts, or security-sensitive changes. Covers grouping, fan-out to review subagents, verdict synthesis, and posting.

One-time onboarding for the content creator workflow — content pipeline stages, trend expiration, cross-platform cascades, heavy idea parking. After successful setup this skill is excluded from selection until the marker file is deleted.

Product strategy and feature prioritization — score features by user demand evidence, effort (human vs AI-assisted), strategic alignment, and market signal. Anti-sycophantic forcing questions to cut through opinion.