| name | rgit-capture |
| description | Use when the research-git proposal queue is non-empty (`rgit pending`) — after an `rgit run`, a commit, or the watch daemon leaves open proposals, or when the user wants to segment, capture, or save recent changes. Invoke proactively without being asked; unsegmented proposals cannot be recalled or queried. |
rgit-capture
Orchestrates the two-phase capture: a free, deterministic Phase 1 through the rgit CLI, then an agentic Phase 2 dispatched natively onto the host session's subscription — no paid API.
Prerequisites: the target repo has been rgit init-ed.
Locating the agent definitions. On Claude Code the plugin runtime resolves agent paths for you. On other CLIs (Codex, Gemini, opencode) this skill is symlinked into ~/.agents/skills/rgit-capture, so resolve the plugin root once and reference the agents from there:
SKILL_REAL=$(realpath ~/.agents/skills/rgit-capture 2>/dev/null || readlink -f ~/.agents/skills/rgit-capture)
PLUGIN_ROOT=$(dirname "$(dirname "$SKILL_REAL")")
Every agents/<name>.md reference below (agents/capsule-segmenter.md, agents/edge-judge.md) lives at $PLUGIN_ROOT/agents/<name>.md.
Process
1. Ensure there are proposals to segment (Phase 1 — free, deterministic)
If the user just made changes and there is no open proposal yet:
rgit capture # picks for you: uncommitted work, or the last commit when the tree is clean
rgit capture main..HEAD # a specific span of commits (any A..B range)
Repeated captures of the same diff dedup into the existing proposal, and repos with the post-commit hook (rgit install-hooks) capture each commit automatically — don't capture the same commit twice. Proposals also appear from rgit run and the rgit watch daemon.
2. Read the pending captures
Run rgit pending --json → a list of {proposal_id, trigger, diff, candidates}. The diff is the raw material; the candidates are crude heuristic guesses you are about to replace. If the list is empty, tell the user there is nothing to segment and stop.
3. Dispatch the capsule-segmenter subagent (Phase 2 — agentic, on subscription)
For each pending proposal, dispatch a subagent using the capsule-segmenter agent definition (agents/capsule-segmenter.md); run independent proposals concurrently. Pass in the dispatch prompt: proposal_id, repo_root (absolute path of the target repo), diff (verbatim from rgit pending), and symbols if available. The subagent returns {"capsules": [...], "dropped": [...]} — high-quality capsules with real intent / knobs / data_assumptions / resurrection_guide, infrastructure noise dropped.
4. Write the capsules back
For each proposal, pipe the subagent's capsules array back through the CLI:
echo '<capsules-json-array>' | rgit resegment <proposal_id> --from-json -
This replaces the crude heuristic candidates with the agent-quality ones. Do NOT approve anything yet.
5. Review with the user (you run the commands; the user decides)
Approval is human-gated, but the human only decides — never make them type rgit commands or copy ids.
- Show each proposal's capsules: name + one-line intent (+ key knobs if they matter).
- Ask which capsules to keep — use the client's structured multi-select question UI if it has one, otherwise ask in plain conversation. Always ask, even when there is a single capsule. Never auto-approve.
- Execute the decision yourself, one command per proposal:
rgit review --decide <proposal_id> --keep <name>[,<name>...] # approves these, drops the rest
rgit review --dismiss <proposal_id> # the user kept nothing
Lost the ids from step 2? Bare rgit review re-lists every open proposal with its candidate names.
- Echo the
approved -> <feature_id> lines back to the user, then continue to step 6.
If any proposal remains open when you are about to finish a response, include a Pending capsule review section before finishing. List each proposal id and every candidate's stored name and one-line intent; include key knobs only when they affect the choice. Never replace this list with only a candidate count. Present the explanations and intents in the language the user is currently using, even when the stored capsule uses another language. Do not translate proposal ids, capsule names, code symbols, configuration keys, or file paths. Translation is presentation-only; never rewrite the stored candidates.
Keep the handoff compact. Do not add a separate Git, capsule, or graph status list unless the user explicitly asked for those details. After the candidate list, end with exactly one short paragraph in the user's language that combines the unresolved status and decision request: ask which capsule names to keep, whether to keep all, or whether to discard all; state in the first person that you will execute the review for the user and that kept candidates will be approved and stored as capsules. Do not repeat candidate names as reply examples, render a separate decision menu, or say only that review "can" be executed. Do not approve, discard, or otherwise make a review decision before the user confirms.
6. Infer graph edges (deterministic baseline + agent-judged relationships)
After approval, wire the new capsules into the graph:
rgit edges --apply
This writes a neutral overlaps baseline edge between capsules touching the same file+symbol and prints overlap_pairs (just connected) plus depends_candidates (over-produced {src, dst, evidence} hypotheses from name overlap). overlaps only says "same region" — it does not mean conflict.
Dispatch the edge-judge subagent (agents/edge-judge.md) once, passing both lists plus the referenced capsules' names/intents/slices. It returns confirmed depends_on edges and, per overlap pair, a precise relationship: alternative_to, composable_with, supersedes (directed), conflicts_with, or "leave as overlaps". Write each result:
rgit edges --add depends_on <src> <dst> # confirmed dependency
rgit edges --add alternative_to <a> <b> # symmetric: write BOTH directions
rgit edges --add alternative_to <b> <a>
rgit edges --add supersedes <newer> <older> # directed: one line
Pairs the judge leaves unclassified keep their neutral overlaps baseline — the graph renderer hides it once a richer edge exists, so delete nothing. Reject coincidental overlaps: a missing edge is cheaper than a wrong one.
Notes
- Sibling flow: recalling a capsule and regenerating it onto today's code is the
rgit-recall skill, driven by the capsule-regenerator agent.
