learn-from-session
Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills. Use when asked to analyze a session, learn from…
Harden a manifest-dev task guidance file for one-shot quality — either /define''s quality-gate/Default set or figure-out''s probe set. Iterates: orthogonality gap analysis, user-approved additions, prompt review, fix, converge. Use when a task file needs comprehensive coverage
$ npx -y skills add doodledood/manifest-dev --skill harden-task-file --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/harden-task-fileContext preview
The summary Claude sees to decide when to auto-load this skill.
Harden a manifest-dev task guidance file for one-shot quality — either /define''s quality-gate/Default set or figure-out''s probe set. Iterates: orthogonality gap analysis, user-approved additions, prompt review, fix, converge. Use when a task file needs comprehensive coverage
name: harden-task-file description: 'Harden a manifest-dev task guidance file for one-shot quality — either /define''s quality-gate/Default set or figure-out''s probe set. Iterates: orthogonality gap analysis, user-approved additions, prompt review, fix, converge. Use when a task file needs comprehensive coverage or "harden task file".' user-invocable: true metadata: internal: true
**User request**: $ARGUMENTS
Systematically harden a /define task guidance file until manifests built from it produce deliverables that don't need iteration.
If no arguments, ask which task file to harden.
Task files come in two parallel, decoupled sets, each keyed by task type and hardened for one-shot quality. Harden whichever set the target file belongs to:
New items must match the depth and structural conventions of the owning skill (`define/SKILL.md` or `figure-out/SKILL.md`) and its existing sibling task files.
The task file should be comprehensive enough that a manifest built with it surfaces all criteria needed for one-shot quality — figure-out's probes surface the non-natural angles during understanding; /define's gates and Defaults encode the verifiable bar. "One-shot" = the deliverable passes review without iteration.
Write findings to `/tmp/harden-{timestamp}.md` after each round. Read full log before each new round — prevents re-proposing rejected items and losing dimension context.
Per-round log structure:
## Round N ### Dimension Map [dimension → items mapping] ### Gaps Found [uncovered dimensions] ### Proposals [item: accepted/rejected by user] ### Reviewer Findings [finding: agree/disagree, applied/skipped]
The core discipline. Map every item in the file to a dimension — an independent axis of concern. A dimension is a top-level concern like "evidence quality" or "audience fit"; items are specific checks within a dimension like "source credibility" or "cross-referencing". Two items share a dimension if improving one naturally helps the other.
User validates the dimension map before gap-filling begins. Gaps = dimensions with no coverage.
Examples of dimension sources: deliverable lifecycle (creation → review → use → maintenance), rejection triggers, wrongness vs incompleteness, base-rate failures for this task class, user interaction points.
If the first analysis finds no gaps, invoke the reviewer once and exit if clean — not every task file needs hardening.
Each iteration achieves:
Converged when criteria in Convergence section met.
Each item belongs in exactly one section, and a safety rule whose violation would be unsafe or irreversible is a Default even when verifiable — that clause wins over the Quality Gate (baseline) row below, which every safety rule also matches. A file holds only its own set's sections — a `/define` file never carries probes/trade-offs, a figure-out file never carries gates/Defaults:
| Section | Set | What it checks | Test | |---------|-----|----------------|------| | Quality Gate (baseline) | /define | Output property that should always be true | Would omitting this ever be acceptable? No → baseline, unless violating it would be unsafe or irreversible → Default | | Quality Gate (selectable) | /define | Output property representing a meaningful rigor choice | Reasonable to skip for some tasks? Yes → selectable | | Default | /define | Process practice always worth doing | Can't verify from output, or a safety rule whose violation would be unsafe or irreversible? → Default | | Blind-spot probe | figure-out | A non-natural failure mode / pre-mortem angle the model skips by default | "Imagine this was rejected because..." AND a capable model wouldn't raise it unprompted? → probe | | Forced trade-off | figure-out | Competing tension with no universal right answer | Both sides have legitimate merit? → trade-off |
A concern appears once, in its most natural section. When the same concern appears in multiple sections, keep the stronger version.
| Principle | Enforcement | |-----------|-------------| | Orthogonality over volume | Cover all dimensions, not all possible items within a dimension | | User approves all changes | Propose via AskUserQuestion, never auto-add | | Critical reviewer evaluation | Evaluate each finding independently — push back with rationale when wrong. When reviewer suggests items in already-covered dimensions, orthogonality wins | | No redundancy across sections | Same concern in both risks and scenarios = pick one | | Principles over thresholds | "Corroborated across independent sources" not "verified across 2+ sources" | | No capability instructions | Do
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