AI Agent & Automation Workflows

Reads the current work context and plans the optimal agent dispatch. Clarifies direction with 1-2 questions when unclear; infers and proceeds immediately when execution path is unclear. Runs an automatic recording gate after each Wave completes. Triggered by "compose agents", "which agent should I use?", "run in parallel", or "agent-composer".

Routes a proposed skill, plugin, or agent to its correct home — forge-harness (FH) meta-skill, project-local agent, or drop — by applying a 4-criteria meta-skill bar followed by a project-local value test.

Recruits cross-family verifier sidecars (codex, agy, local 4090 over Tailscale) for adversarial verification of load-bearing changes, maximizing model-family diversity against the orchestrator. Mechanically discovers the available sidecar panel, recruits at least one cross-family verifier when present, and degrades gracefully when none are. The governor (Claude) keeps the terminal verdict; sidecar findings must be source-grounded before acceptance. Opt-in via one-time consent, stored in the UAP; fires only on load-bearing changes. Triggered by "recruit a cross-family check", "decorrelate this verification", "use the idle sidecars to verify", "auto-decorrelation".

When two skills, agents, or independent research tracks produce conflicting verdicts on the same output, reads the conflict as a signal rather than an error and harvests new skill candidates or insight deltas. Also accepts a Dual-Track Grounding conflict — an open-frontier research track vs an internally-grounded recall track disagreeing — as a research-layer partial analogue of Non-Model Ground (the grounded track is a time-decorrelated anchor, not a non-model one). Routes skills born from contention to fh-meta if they are meta-layer, to commons plugin if project-agnostic, or to field harvest if domain-specific. Triggered by "two skills conflict", "they produce different conclusions", "contention-layer", "contention harvest", "open vs grounded contradiction", "research tracks disagree".

DEPRECATED — merged into agent-composer Step 3-a (2026-06-02). Context Card injection (N≤2 standard / N≥3 Registry mode) + coordination-overhead budget + Focus Mode are now part of agent-composer Step 3. Invoke /agent-composer for parallel dispatch.

Reduces token waste in Claude Code sessions. Scans projects to automatically generate .claudeignore files, and guides on over-read files and /clear timing. In hub environments, regularly audits bloated CLAUDE.md/MEMORY.md/memory/.md files and proposes compression. Usable standalone without a hub clone.

Fetches and normalizes multi-version public-domain corpora into a single verified-axiom store for verbatim-relay grounding, recording per-version license and provenance.

Automatically discovers useful combinations (synergy pairs) across multiple installed plugins and skills, and presents them as a ranked table. Proactively suggests undiscovered synergies when new projects or skills are registered in the registry. Activates on phrases like "do my installed tools work well together?", "they seem to work in isolation", "find synergies".

Clarifies ambiguous requests through Socratic dialogue, drawing out goals, completion criteria, and constraints to produce a structured spec document. Pre-dispatch requirement clarification step for agent dispatch. Triggered by "I don't know what to build", "how should I approach this", "organize this for me", "clarify this", "deep-clarify".

Multi-perspective synthesis structure — Innovator (propose) → Devil-Advocate (challenge) → Mediator (synthesize) 3-layer execution. Outputs conditional verdicts without binary win/loss. Activates on "deliberation", "battle this out", "weigh the pros and cons", "review from multiple angles", "which side is right?". Optional deep-insight persona jurors for domain-specific views. Designed for design decisions, skill proposals, and architectural choices.

Mines improvement insights from long-form AI dialogue logs and long texts — an external or pasted corpus, not the current session (current-session wrap-up belongs to harvest-loop). First operation is sycophancy removal — separates speakers, strips the counterpart's agreement/restatement spans, converts the user's own utterances into falsifiable propositions, and labels each proposition induced (frame first introduced by the counterpart) or independent (originated with the user). Ships a drop counter so removed material is visible, never silently lost. Triggered by "mine insights from this chat log", "이 대화록에서 통찰 캐줘", "strip the agreement and show me what's actually mine", "동조 걷어내고 알맹이만", "what did I actually contribute in this thread".

Implements a predict-verify loop for harness edits. Every SKILL.md, rules/.md, or CLAUDE.md change is paired with a predicted impact stored in a manifest. The next session verifies predictions against actual outcomes, and a validation gate accepts edits only when improvement is measurable. Runs automatically on harvest-loop Step 0-c and on explicit invocation.

Scans git history of field projects to detect patterns worth backporting to the meta-harness (Mode A), and logs session work to the knowledge hub when a session ends (Mode B). Triggers on "save this pattern", "make this reusable across projects", "can we automate this repetition?", "push this to FH", "reverse absorption", "harvest pattern", "session log", "log today's work", "sync to hub".

Collects the latest AI/harness engineering trends from HackerNews and arxiv, then synthesizes them into actionable insights directly relevant to forge-harness operations. Triggered by "AI trends", "latest trends", "this week's AI updates", "what's on the frontier", "harness trends", "frontier-digest".

Wraps /goal with a tiered safety + orchestration ladder. core (default): a token budget gate (pre-run estimate), mid-run budget thresholds, and an automatic post-run quality verification via pipeline-conductor — closing /goal's two gaps (Haiku evaluates completion, pipeline-conductor evaluates correctness). pro: adds context-doctor token reduction and agent-composer goal decomposition. max: adds plugin-recommender capability-gap fill and cross-ecosystem-synergy-detection pre-validation. The Phase-1 budget verdict auto-recommends the mode. Triggered by "goal with quality gate", "safe goal", "goal-quench", "orchestrate this goal", or before running /goal on high-stakes tasks.

Scans a project's harness structure (.claude/ directory, CLAUDE.md, rules, agents) to diagnose complexity, drift, missing files, and broken references, then suggests improvements. --lint flag adds language-pattern scan (self-marketing, cushion words, version brags). Triggered by "harness check", "structure diagnosis", "CLAUDE.md audit".

A self-evolution pipeline that runs automatically after field sessions end. field-harvest (pattern extraction) → contention-layer (collision signals) → [Agent(subagenttype="challenger") + persona-innovator parallel] → synthesizer (challenger/innovator collision harvest) → Critic isolated Agent (SAGE automated critique) → harness-doctor (health check) → verify-bidirectional (consistency validation) → curator (skill lifecycle management) — 8 steps. Session learnings are automatically absorbed back into the FH ecosystem so the harness evolves on its own. In the main development environment, runs automatically at session end. For external FH users, proposes execution first. Triggered by "session harvest", "learning absorption", "fh evolution", or "harvest-loop".

Checks a submitted PR against the environment's baseline assets (CLAUDE.md, memory, naming, asset classification) and attaches a review comment with a merge recommendation. 5 steps — diff read, 8-area consistency check, self-catch, comment, merge recommendation.

Scans the existing environment before and after meta-harness plugin install to diagnose conflicts, duplicates, and silent overwrite risks. Reports potential conflict areas with existing CLAUDE.md, skills, hooks, and audit practices. Activates on "install conflict", "any overlaps?", "is it safe to install?".

Run when setting up a new project for the first time or onboarding after installing FH (first setup, initial configuration, onboarding start, configure project, help me set up). Performs environment detection → gap diagnosis → item-by-item suggestions → user approval → execution → acceleration baseline setup in sequence. Use --dry-run to output diagnosis report only (bg dispatch compatible).

Evaluates whether a repository meets marketplace listing criteria via a 5-point check and outputs a listing suitability verdict. Checks README completeness, zero-config readiness, maintenance signals, duplication, and public safety.

Detects MCP tool failure patterns and trips a circuit breaker to stop cascading retries. Proposes fallback alternatives and resets when the tool recovers. Triggers on "MCP failing", "tool keeps erroring", "circuit-breaker", repeated tool call failures.

Generates structured prompts to send to each agent in an agent dispatch plan. Triggered by "write the instructions", "what do I say to the agent?", "write the prompt for me", "meta-prompt-builder". Bridges agent-composer (which agents) and prompt content (what to say). Uses Goal/Context/Constraints/Done When structure.

Expands a named persona seed into a tiered, judgment-mapped cast — tiering each persona by a domain safety rule, mapping each to a decision-lens in the user's vocabulary, then proposing additional voices with sourced anchors.