emitting-output
Writing or converting formatted output in ripwire's C++ source — std::print/std::format via…
Starting a FEATURE (multi-symbol work): the plan, the API boundary, the scope — how big does this change get — from the codebase's real structure. Implementing an EXISTING interface? --lego=Iface lists its contract and current implementors. ONE standalone symbol → reuse-first. A
$ npx -y skills add redhat-et/ripwire --skill ripwire-before-you-build --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ripwire-before-you-buildContext preview
The summary Claude sees to decide when to auto-load this skill.
Starting a FEATURE (multi-symbol work): the plan, the API boundary, the scope — how big does this change get — from the codebase's real structure. Implementing an EXISTING interface? --lego=Iface lists its contract and current implementors. ONE standalone symbol → reuse-first. A
name: ripwire-before-you-build description: > Starting a FEATURE (multi-symbol work): the plan, the API boundary, the scope — how big does this change get — from the codebase's real structure. Implementing an EXISTING interface? --lego=Iface lists its contract and current implementors. ONE standalone symbol → reuse-first. A small feature with an obvious home needs none of this. allowed-tools: Bash, Read
> Routing: > • Writing ONE symbol (fn/class/helper) and want to reuse rather than reinvent → **ripwire-reuse-first**. > • You've already written the change and want the pre-submit check → **ripwire-change-check**. > • You want to judge whether the code you wrote got better/worse → **ripwire-quality-bar**. > • Restructuring EXISTING code (not new work) → **ripwire-fresh-eyes**. > • Not sure which skill? → **ripwire-router**.
`<dir>` = repo root. `FEATURE`/`APPROACH` = your task in 2–4 plain words; `SYM` = a representative symbol. Run only the sections your question needs — they share the same building blocks.
Almost every section starts here; do it once. **One-call shortcut:** `ripwire <dir> --pack-task="FEATURE" --legend=compact` assembles the recall + `--for` ranking + top bodies + caller signatures + notes + `tests_to_run` into ONE bundle under one token budget — reach for it first instead of firing the calls below one at a time; drop to the individual calls only when you need a specific section's full output.
markdown docs (planning/design notes, READMEs) ranked by relevance. **If a doc already covers this, read it fully — the decision may be made.** Look for explicit "rejected" / "future work" language.
ranked by task-relevance, each carrying the **quality lens** in the same call: `cx`/`ccx` (complexity), `in`/`amp` (reuse count / change-amplification), `churn` (recent-commits), `clone="1"` (duplicated), `tested="1"`, plus the inline `<doc>` block. That's read-context-and-quality-signal in ONE call — you learn what to reuse AND what's fragile (high-churn, high-amp, cloned, or untested) before you write a line, not after. High-`in` symbols are already widely composed — prefer extending them over reimplementing; treat a high-`churn`/high-`amp` one as something to touch carefully and test around.
or `--exemplar="<the sub-task in words>"` (top match's kind inferred) → the repo's single best-in-class instance of that shape — cognitive complexity must clear an eligibility ceiling first (a blob can never win no matter how reused/tested), then among eligible candidates it's ranked `tested=1` first, highest fan-in second, lowest cognitive-cx as the final tie-break — full body under `<bodies>`. Run it per new symbol the feature adds so each one **copies a proven shape** (structure, error handling, naming) instead of being invented from memory. (Deep-dive on exemplar-by-ROLE → **ripwire-reuse-first**.)
same-named type) → the interface's method contract (the exact signatures you must satisfy) **plus every existing implementor**, own-language only. Read one existing impl as the template so your new one matches the house pattern (method order, error handling, registration) instead of guessing the shape from the interface alone. The single highest-value call when the thing you're building has to satisfy an `I`.
After the recall + `--for` above: 1. If highly-relevant symbols already exist with `in > 0`, the approach is **partially implemented** — build on it. If `--recall` shows it was decided against, stop. 2. **Integration seams** — `ripwire <dir> --seams --legend=compact` → `<seams>` (untested cross-module edges). If your approach must connect two modules with no test-covered seam between them, that's an integration cost. 3. **Coupling cost** — `ripwire <dir> --deps --legend=compact` (skim `<godfiles>` + `shape=`). Adding a dependency on a god-file adds coupling cost for every future change — flag it. → **Verdict:** "build on existing" / "greenfield but seams exist" / "needs new seam, flag risk".
1. Recall + `--for` (above) — check whether any existing symbol already solves part of the problem. Low `in=` = an underused candidate to extend or replace; high `in=` = load-bearing, extend cautiously. 2. **Integration seams** — `ripwire <dir> --seams --legend=compact`. Each seam is a wiring point; your plan should name which seam(s) the new code wires through, and add a test at each new seam it creates. 3. **Impact of anything you'll modify** — `ripwire <dir> --impact=SYM --legend=compact`. Large `reaches=` → plan a staged rollout or a compatibility shim. → **Plan:** ordered steps (recall → design → wire seams → write tests → implement), each naming the specific file+symbol to touch, the blast radius of any modification, and its test gate (from `--affected`). Flag any step that creates a new seam without a test.
1. **Neighborhood of the subsystem** — `ripwire <dir> --around=SYM --legend=compact --metrics [--around-depth=2]` → the ego graph with ranks + call edges. `--metrics` is what adds the `in=` fan-in annotation (bare `--around` emits none); **high-`in=` symbols are already acting as the de-facto API surface.** 2. **The seam it lives on** — `ripwire <dir> --seams --legend=compact`. If your subsystem straddl
The ripgrep of AI context. A map before your agent reads the repo — and a check on what it writes. Ranked, deterministic call graph: what to touch, what it breaks, which tests to run.
Repo: redhat-et/ripwire
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