anchor-repro
Reproduce a behavioral bug before fixing it, record the failing probe, and verify the fix with the same probe. Use for bug…
Interrogate a written engineering implementation brief before work starts. Use when a user brings a ticket, PRD, design note, or substantive engineering task brief and wants to begin implementation planning; force every fixed rubric element to be accounted, cite present/weak
Claude Code
$ npx -y skills add lynxlangya/techne --skill anchor-intake --agent claude-code
Codex
$ npx skills add lynxlangya/techne --skill anchor-intake -a codex -y
Cursor
$ npx skills add lynxlangya/techne --skill anchor-intake -a cursor -y
Gemini CLI
$ npx skills add lynxlangya/techne --skill anchor-intake -a gemini-cli -y
GitHub Copilot
$ npx skills add lynxlangya/techne --skill anchor-intake -a github-copilot -y
OpenCode
$ npx skills add lynxlangya/techne --skill anchor-intake -a opencode -y
Windsurf
$ npx skills add lynxlangya/techne --skill anchor-intake -a windsurf -y
name: anchor-intake description: Interrogate a written engineering implementation brief before work starts. Use when a user brings a ticket, PRD, design note, or substantive engineering task brief and wants to begin implementation planning; force every fixed rubric element to be accounted, cite present/weak claims against the brief, surface gaps, solution-as-goal traps, contradictions, and questions, then emit an intent-level plan. Do not use for bare one-line requests, non-engineering artifacts, code diff review, bug fixing, or execution itself.
Force the skipped move before execution: interrogate the written brief against a fixed engineering implementation rubric, then plan only after gaps and weak assumptions are visible.
Use this skill when the user provides a substantial written engineering implementation brief: a ticket, PRD, design note, or task brief with enough text to interrogate before work starts.
Do not use it for a bare one-line request, an already precise command, a marketing brief, research proposal, prose draft, code diff review, bug fix, or implementation execution. For unsupported or too-thin artifacts, self-eject in one sentence and write no `.techne/plan/<slug>` output. If a captured artifact later proves unsupported, use `finalize --unscopable --reason ...`.
Boundary test: can you point to a user-authored written artifact and ask whether it names the engineering goal, users, measurable success threshold, scope, non-goals, inputs, data sources, dependencies, constraints, and acceptance method? If yes, use `anchor-intake`. If no, eject or ask for the brief first.
1. **Capture the brief.** Save the user-authored artifact verbatim. Run: `python3 skills/anchor-intake/scripts/intake_gate.py init --project <root> --plan <slug> --brief-file <path>`. 2. **Read the brief in full.** Do not fill the rubric from memory or from the user's surrounding chat if the value is not in the captured brief. 3. **Account every fixed rubric element.** For each of the ten elements, write one disposition in `.techne/plan/<slug>/intake.json`: `present` with citation and `valueItems`, `present-weak` with citation and a dependent question, or `gap` with a question or visible `modelDefault`. 4. **Surface traps and conflicts.** Add span-anchored `solution-as-goal` and `contradiction` findings whenever the brief implies them. Contradictions need two verified spans. 5. **Ask only dependent questions.** Every question must resolve an element or finding and carry a `planDelta`. Weak/gap questions must reference the weak span/value or the missing element label. 6. **Author intent-level steps.** Steps are not execution yet. Each step needs an `id`, `dependsOnAssumptions`, `dependsOnSteps`, `verifiableOutcome`, and at least one terminal step reachable from a root step. 7. **Check and repair.** Run: `python3 skills/anchor-intake/scripts/intake_gate.py check --project <root> --plan <slug>`. Fix structural failures by doing the missing intake work, not by padding JSON. 8. **Finalize.** Run: `python3 skills/anchor-intake/scripts/intake_gate.py finalize --project <root> --plan <slug>`. Relay the generated `intakeReport.json` to the user, especially gaps, weak elements, questions, solution-as-goal findings, contradictions, and warnings.
Artifacts are written under the target project:
.techne/plan/<slug>/ brief.txt # captured external artifact context.json # computed by init intake.json # authored by the reviewer/planner report.json # computed by check plan.json # computed by finalize intakeReport.json # computed by finalize
Generated `.techne/` output belongs to target projects. Do not commit it to this repository.
Minimal `intake.json` shape:
{
"schema": "techne.intake/1",
"elements": {
"data-sources": {
"disposition": "gap",
"questionIds": ["Q1"]
}
},
"findings": [
{
"id": "S1",
"kind": "solution-as-goal",
"citation": {"offset": 16, "quote": "Build a Slack bot"}
}
],
"questions": [
{
"id": "Q1",
"text": "Which data sources should the implementation read?",
"resolves": ["data-sources"],
"planDelta": {"adds": ["Bind implementation to the named source"]}
}
],
"steps": [
{
"id": "s1",
"title": "Implement only the scoped behavior",
"dependsOnAssumptions": ["goal-and-why"],
"dependsOnSteps": [],
"verifiableOutcome": "The scoped behavior can be verified by the acceptance method",
"terminal": true
}
]
}Use [reference.md](reference.md) for the full JSON contract, fixed rubric, STOPLIST/RUBRIC-LABEL set, shape rules, warning semantics, and known weak spots.
implementation brief or is too garbled/thin to interrogate honestly.
intent-level plan; implementation belongs to the next workflow step.
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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