anchor-intake
Interrogate a written engineering implementation brief before work starts. Use when a user brings a ticket, PRD, design note, or…
Reproduce a behavioral bug before fixing it, record the failing probe, and verify the fix with the same probe. Use for bug reports, failing tests, crashes, hangs, regressions, wrong output, and observable behavior that should change.
Claude Code
$ npx -y skills add lynxlangya/techne --skill anchor-repro --agent claude-code
Codex
$ npx skills add lynxlangya/techne --skill anchor-repro -a codex -y
Cursor
$ npx skills add lynxlangya/techne --skill anchor-repro -a cursor -y
Gemini CLI
$ npx skills add lynxlangya/techne --skill anchor-repro -a gemini-cli -y
GitHub Copilot
$ npx skills add lynxlangya/techne --skill anchor-repro -a github-copilot -y
OpenCode
$ npx skills add lynxlangya/techne --skill anchor-repro -a opencode -y
Windsurf
$ npx skills add lynxlangya/techne --skill anchor-repro -a windsurf -y
name: anchor-repro description: Reproduce a behavioral bug before fixing it, record the failing probe, and verify the fix with the same probe. Use for bug reports, failing tests, crashes, hangs, regressions, wrong output, and observable behavior that should change.
Force the skipped move in debugging: observe the bug before editing, then prove the fix with the same observation.
Use this skill when the task is to correct observable behavior that is currently wrong: a failing test, error message, stack trace, regression, crash, hang, wrong return value, wrong render, or "X does Y; it should do Z."
Do not use it for new features, refactors, renames, formatting, docs/copy changes, dependency bumps without a behavioral symptom, or performance work without a measurable probe.
Boundary test: can the wrongness be written as "running X currently produces Y; it should produce Z"? If yes, use this skill and make X the probe seed. If the statement cannot be formed from current information, ask for or find the missing observation before editing.
1. **Capture the symptom and stable anchor.** Choose the most stable literal substring of the observable symptom for `--expect`. Omit heap addresses, PIDs, timestamps, temp paths, and wrapped fragments. Use `--expect` whenever the symptom has stable text. If no stable text exists, `--no-stable-expect` is the honest fallback, not an unanchored run; do not use it when stable textual output exists. 2. **Locate, then probe.** Read enough code to place the behavior. Pick the smallest CLI probe that exercises the reported symptom. In workspaces or monorepos, run from the package with `--cwd <package-dir>`, not with a `cd ... &&` convention. If required environment changes matter, encode them inside `--shell` as one quoted command string such as `'VAR=... command'`; inherited environment changes are not part of probe identity in v1. 3. **Demonstrate.** Run the probe through `scripts/repro_ledger.py run --project <root> --bug <slug> ... -- <command>`. Read the failing output and confirm it fails for the reported reason: mechanically, `expectMatched` should be true when `--expect` was supplied; procedurally, inspect the tail/context instead of trusting an exit code. 4. **Diagnose against the probe.** Test hypotheses with discriminating runs before stacking edits. If a better probe is needed, the new probe starts a new fail -> pass cycle and must be observed failing too. 5. **Fix.** 6. **Verify with the identical probe identity.** Re-run the same execution mode, argv vector or shell string, `--cwd`, and `--timeout`. Then run `scripts/repro_ledger.py close --project <root> --bug <slug>`. 7. **Promote when possible.** If the target repo has a test suite, promote the probe into a committed regression test. This is encouraged, not a gate. 8. **Report.** Cite the `close` JSON, cite the first repro entry's git evidence, name the strength rung from `reference.md`, and carry `speculative` when the ledger took an unreproduced path.
Run and record a probe:
python3 skills/anchor-repro/scripts/repro_ledger.py run \ --project /path/to/project \ --bug login-crash \ --cwd packages/app \ --expect "TypeError: cannot read" \ --timeout 60 \ -- npm test -- login.test.ts
Verify after the fix:
python3 skills/anchor-repro/scripts/repro_ledger.py run \ --project /path/to/project \ --bug login-crash \ --cwd packages/app \ --expect "TypeError: cannot read" \ --timeout 60 \ -- npm test -- login.test.ts python3 skills/anchor-repro/scripts/repro_ledger.py close \ --project /path/to/project \ --bug login-crash
Mark an honestly speculative fix only when reproduction is impossible:
python3 skills/anchor-repro/scripts/repro_ledger.py mark-unreproduced \ --project /path/to/project \ --bug customer-only-crash \ --no-probe-possible \ --reason "Requires customer-only data and credentials unavailable in this environment"
The ledger writes target-project artifacts under `.techne/repro/` and idempotently adds `.techne/` to the target project's `.gitignore`. Do not commit `.techne/` output.
explicit `mark-unreproduced` path.
not a reproduction.
their own fail -> pass cycle.
verified same-probe summary.
τέχνη · /ˈtɛk.niː/ · "TEK-nee" Ancient Greek for craft · skill · art: the practical know-how of making and doing, and the shared root of both technique and technology. Aristotle placed technē (knowing how) beside epistēmē (knowing that).
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