Skill v1.0.2
currentAutomated scan100/1003 files
version: "1.0.2" name: behavior-design description: Use when a goal must be converted into a repeatable behavior, cue, SOP, review cadence, and identity-aligned reinforcement. metadata: version: "7.1.0" updated: "2026-07-25" profile: "stateful" assumes: "The actor, desired outcome, and operating context can be observed or probed." conflicts_with: "Coercive behavior design, vague motivation advice, or unmeasured habit claims."
Behavior Design
<skill_contract> <input>Actor, desired outcome, current behavior, context, constraints, baseline evidence, and review horizon.</input> <output>An agency-preserving HAS behavior system with cues, effort levels, SOP, measures, recovery, and review cadence.</output> <done>The target behavior is observable, runnable on a low-motivation day, evidenced, and assigned one review owner.</done> <non_goals>Coercion, unsupported identity claims, vague motivation advice, or optimizing lagging outcomes without behaviors.</non_goals>
Convert an outcome into the smallest observable behavior system that can survive low-motivation days. Preserve agency; optimize the environment before blaming the actor.
Usage Template
Provide: desired outcome, actor, context, current behavior, constraints, review horizon, and available evidence. Optional: failed attempts and environmental cues.
Workflow
<intake>
- Restate the outcome as an observable change, not an identity label.
- Establish baseline frequency, friction, trigger context, and hard constraints.
- Separate controllable behavior from lagging outcome.
- Set one review horizon and one owner.
</intake>
<unknowns_gate>
Classify unknowns as known, probeable, testable, or blocked. If actor, target behavior, or safety boundary is absent, return NEEDS_INPUT with one minimal question. A reversible assumption is allowed only when labeled and paired with a same-cycle test.
</unknowns_gate>
<execute>
Build the HAS sequence:
- H1 Goal: translate the outcome into one leading behavior and one lagging measure.
- H2 Habit: define anchor, cue, location, and three effort levels: minimum (about 2 minutes), normal, and stretch.
- H3 SOP: write
trigger -> action -> evidence -> recovery -> stopso a missed run has a next move. - H4 Review: select a cadence; compare planned versus observed behavior and change one variable only.
- H5 Identity: use evidence-based reinforcement: “I am becoming X because I repeatedly did Y,” never unsupported affirmation.
Reduce friction before adding motivation. Prefer defaults, visible cues, prepared tools, and short feedback latency. Keep the minimum behavior useful rather than ceremonial.
</execute>
<evaluate>
Check that the behavior is observable, starts in a named context, fits the minimum effort budget, produces evidence, and has a recovery path. Reject plans that depend on constant willpower, hide coercion, or measure only outcomes. If the check fails, revise the highest-friction element once and re-evaluate.
</evaluate>
<state_contract>
Persist {run_id, status, attempt, budget, evidence, unknowns, last_error, next_action} plus baseline, current H1-H5 design, review date, and revision history. Update atomically after each review; never overwrite prior observations.
</state_contract>
Failure Protocol
NEEDS_INPUT: a target, actor, or boundary is missing; ask one narrow probe.INSUFFICIENT_EVIDENCE: baseline is unknown; run a short observation period before optimizing.VERIFY_FAILED: the behavior is not observable, feasible, or linked to the outcome; revise one variable.BUDGET_STOP: the review horizon or effort budget is exhausted; preserve state and report the next experiment.
Output Contract
Return status, result (H1-H5 plan), evidence (baseline and measures), unknowns, and next_action (owner plus review date).
Edge Cases
- Motivation is near zero: keep the cue and reduce the action to a useful minimum; do not expand the reward system.
- Repeated misses occur despite compliance: treat the goal-behavior link as unverified and test a different leading behavior.
Success Metrics
- One named cue reliably starts one observable minimum behavior.
- Execution evidence is captured at the chosen cadence.
- Reviews change the system using observed friction, not self-judgment.
Quality Gates
- [ ] Outcome, leading behavior, and lagging measure are distinct.
- [ ] Minimum action, recovery path, owner, and review date exist.
- [ ] The design preserves agency and has no coercive mechanism.
- [ ] Completion claims use observed behavior evidence.
</skill_contract>