ai-experience
Design how an AI feature behaves for its users — saying it is AI, showing sources and uncertainty, letting users correct or undo it, falling back to a person or a non-AI path, collecting feedback, and
SKILL.mdskills/ai-experience/SKILL.md
GitHubExperience
Design what users of the AI feature in "$ARGUMENTS" see and can do when it is right, unsure, wrong, slow or down.
Arguments. $ARGUMENTS may contain the project name and optional flags. Take the first token as <project> and treat --skip-checks as a flag; never include flags in file paths. All paths below use <project>. If --skip-checks is present, skip the prerequisite check and, before writing any artifact, append one line to .singularskills/log.jsonl: {"ts":"<ISO timestamp>","skill":"ai-experience","workflow":"ai","phase":4,"project":"<project>","event":"skipped","artifact":"04-experience.md","note":"<reason or \"none given\">"}.
Compute with code. Perform every calculation (totals, balances, ratios, variances, projections) with a script — Bash, Python or a spreadsheet formula written to a file — and include the computation alongside the result. Never do arithmetic mentally.
Prerequisites
Part of a workflow. This skill is phase 4 (Experience) of the AI Feature Lifecycle workflow (ai); cross-domain workflows run it too. First check .singularskills/log.jsonl for an open run for this project: a run-started line with "project":"<project>" and no later run-finished line for the same workflow and project. If one exists, the conductor is running you: continue here. Otherwise, if the user asked to start, run, continue or resume a process or workflow rather than this one step, do not continue here: invoke the workflow skill with the workflow the user asked for, or ai when they named none, followed by <project>; it runs this phase in order, asks before it writes and records the run. Otherwise continue here: a later phase runs on its own, behind its gate.
Run this skill's gate before writing: sh <this skill's folder>/scripts/gate.sh <project> <project root>, where <project root> is the folder that contains .singularskills/ (use . when you are already there). If it exits non-zero, stop and tell the user what it printed, unless --skip-checks was given (see Arguments). On a refusal, before you stop, append this line to .singularskills/log.jsonl (create the folder and file if missing): {"ts":"<ISO timestamp>","skill":"ai-experience","workflow":"ai","phase":4,"project":"<project>","event":"refused","artifact":"04-experience.md","note":"<what the gate printed>"}. Once the gate has passed, or under --skip-checks once you have appended the skipped line, append this line before you start work: {"ts":"<ISO timestamp>","skill":"ai-experience","workflow":"ai","phase":4,"project":"<project>","event":"started","artifact":"04-experience.md","note":""}.
Read .singularskills/ai/<project>/01-define.md for the job and failure modes and .singularskills/ai/<project>/02-approach.md for what the feature can do. Read .singularskills/ai/<project>/03-prompt.md for the refusal and uncertainty rules when it exists.
Process
Disclosure: where and how users learn they are dealing with AI, in the product's own words.
Sources: how the feature shows where an answer came from, so users can check it.
Uncertainty: what users see when the model is unsure: a hedge, a clarifying question, or a handover, matching the refusal and uncertainty rules in
03-prompt.mdwhen it exists, or setting them for phase 3 to follow.Correction and undo: how users fix a wrong answer, edit an output before using it, or undo an action the feature took.
Fallback: the path to a person or a non-AI route, when it is offered, and what it keeps of the conversation.
Feedback: how users say an output was good or bad, and what is captured with it (the output ID, never more personal data than needed); this feeds phase 6 and phase 8.
Slow and down: what users see while waiting, after the latency budget is exceeded, and when the model is unavailable.
Write the artifact to
.singularskills/ai/<project>/04-experience.mdwith one section per item above.
Output
The experience design written to .singularskills/ai/<project>/04-experience.md. Present a summary to the user highlighting:
- How users can check and correct an answer
- The fallback when the AI is unsure or down
- The feedback that will feed evaluation
Record the run. After you have written the artifact, append this line to .singularskills/log.jsonl (the started line of Prerequisites, with "event":"finished"): {"ts":"<ISO timestamp>","skill":"ai-experience","workflow":"ai","phase":4,"project":"<project>","event":"finished","artifact":"04-experience.md","note":""}.
Open the artifact with this frontmatter (agent is the agent you run in, or unknown; gate is passed when the gate ran clean and skipped under --skip-checks):
---
skill: ai-experience
workflow: ai
phase: 4
project: <project>
started: <ISO timestamp>
finished: <ISO timestamp>
agent: <the agent you run in, or "unknown">
gate: <passed|skipped>
---
End the artifact with ## Decisions and ## Open questions, in this shape:
## Decisions
- <what was chosen> — <why> — <what was rejected>
## Open questions
- <what the next phase or a reviewer must settle>