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.
npx skills add https://github.com/lynxlangya/techne --skill anchor-repro
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.
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.
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.
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.
before stacking edits. If a better probe is needed, the new probe starts a
new fail -> pass cycle and must be observed failing too.
argv vector or shell string, --cwd, and --timeout. Then run
scripts/repro_ledger.py close --project <root> --bug <slug>.
probe into a committed regression test. This is encouraged, not a gate.
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.
close does not exit 0 with averified same-probe summary.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take lynxlangya/anchor-repro from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.