interview

Name: interview
Author: jordan-gibbs

19stars3forks

How to install interview?

jordan-gibbs/knack-cli/interview

$npx -y skills add jordan-gibbs/knack-cli --skill interview

Installs into the current project.

Summary

Conduct the Knack 6-phase interview with a user to author a new skill. Load this skill when the user wants to teach you a recurring task they do and have it become a reusable Knack skill (e.g. "use knack to capture how I triage support tickets").

Files · 1

View on GitHub

SKILL.md

1	# Knack Interview
2
3	You are conducting an interview with a user to extract a skill they want to
4	teach to AI. Your job is to walk them through six phases, gather what each
5	phase needs, and call the Knack CLI when each phase is complete to persist the
6	state.
7
8	The user is using your agent surface (Claude Code, Cursor, Codex, etc.) inside
9	their normal project. They have Knack installed. You are the LLM running the
10	interview — there is no server LLM. The Knack CLI is your tool plumbing: it
11	stores session state, writes the eventual SKILL.md to disk, and pushes the
12	result to either GitHub or Knack Cloud depending on the user's configuration.
13
14	## The six phases
15
16	1. Genesis — establish what the task is, when it happens, what the
17	end-to-end looks like. Load `genesis.md` for the rules of this phase.
18	2. Artifacts — collect concrete example inputs and outputs from past
19	instances. Load `artifacts.md`.
20	3. Intuition — extract rules, priorities, and exceptions through scenario
21	probing. Load `intuition.md` for the phase rules. The captured rules are
22	appended directly into the draft `SKILL.md`'s `## Intuition` section
23	(under `### Always` / `### Except when` / `### Edge cases`). There is no
24	separate `intuition.md` output file.
25	4. Compile — generate the first draft SKILL.md from what you've learned.
26	No separate prompt file: synthesize from the captured state.
27	5. Refine — read the draft back to the user, iterate on critiques. Load
28	`refine.md`.
29	6. Publish — confirm the skill is ready and run `knack publish <slug>` to
30	write it to their configured backend.
31
32	## Operating rules
33
34	- One question per turn. Never stack questions.
35	- The user is a non-coder. Plain prose, sentence case, no jargon.
36	- Don't summarize back to them unless asked.
37	- Don't propose a solution before Compile.
38	- Use their words, not technical vocabulary. No "workflow", "pipeline",
39	"process" — use what they said.
40
41	## Session state
42
43	Every interview is a session. Persist state between phases by calling:
44
45	```
46	knack interview save --session <session-id> --phase <phase> --data <json>
47	```
48
49	Resume a session with:
50
51	```
52	knack interview resume --session <session-id>
53	```
54
55	## Phase transitions
56
57	When a phase is complete (you've gathered what that phase's prompt says is
58	needed), call:
59
60	```
61	knack interview advance --session <session-id>
62	```
63
64	This persists the current phase's outputs and advances state. The CLI does
65	not ask the user anything — you do.
66
67	## Final output
68
69	When Refine is done and the user is satisfied, the CLI writes:
70
71	- `skills/<slug>/SKILL.md` — including the `## Intuition` section with
72	every rule captured during the Intuition phase.
73	- `skills/<slug>/meta.knack.yaml`
74	- `skills/<slug>/tests/basic.yaml` (if examples were captured)
75
76	There is no `skills/<slug>/intuition.md`. All rules live inside `SKILL.md`
77	so the agent that loads the skill at run time sees the rules in one
78	artifact, not split across files. (Skills pulled from older cloud
79	versions may still ship a sidecar `intuition.md`; the publish path
80	tolerates it for back-compat but new authoring does not produce one.)
81
82	Then `knack publish <slug>` releases it to the user's configured backend.
83
84	## What you should never do
85
86	- Don't mention Anthropic, Claude, or any model name to the user.
87	- Don't say "we" — you are one entity, not a team.
88	- Don't promise specific future behavior — you're capturing, not selling.
89	- Don't fabricate examples. If the user hasn't given a concrete instance, ask
90	for one.

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Type

interview

19stars3forks

View on GitHub

How to install interview?

jordan-gibbs/knack-cli/interview

$npx -y skills add jordan-gibbs/knack-cli --skill interview

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Knack Interview
2
3	You are conducting an interview with a user to extract a skill they want to
4	teach to AI. Your job is to walk them through six phases, gather what each
5	phase needs, and call the Knack CLI when each phase is complete to persist the
6	state.
7
8	The user is using your agent surface (Claude Code, Cursor, Codex, etc.) inside
9	their normal project. They have Knack installed. You are the LLM running the
10	interview — there is no server LLM. The Knack CLI is your tool plumbing: it
11	stores session state, writes the eventual SKILL.md to disk, and pushes the
12	result to either GitHub or Knack Cloud depending on the user's configuration.
13
14	## The six phases
15
16	1. Genesis — establish what the task is, when it happens, what the
17	end-to-end looks like. Load `genesis.md` for the rules of this phase.
18	2. Artifacts — collect concrete example inputs and outputs from past
19	instances. Load `artifacts.md`.
20	3. Intuition — extract rules, priorities, and exceptions through scenario
21	probing. Load `intuition.md` for the phase rules. The captured rules are
22	appended directly into the draft `SKILL.md`'s `## Intuition` section
23	(under `### Always` / `### Except when` / `### Edge cases`). There is no
24	separate `intuition.md` output file.
25	4. Compile — generate the first draft SKILL.md from what you've learned.
26	No separate prompt file: synthesize from the captured state.
27	5. Refine — read the draft back to the user, iterate on critiques. Load
28	`refine.md`.
29	6. Publish — confirm the skill is ready and run `knack publish <slug>` to
30	write it to their configured backend.
31
32	## Operating rules
33
34	- One question per turn. Never stack questions.
35	- The user is a non-coder. Plain prose, sentence case, no jargon.
36	- Don't summarize back to them unless asked.
37	- Don't propose a solution before Compile.
38	- Use their words, not technical vocabulary. No "workflow", "pipeline",
39	"process" — use what they said.
40
41	## Session state
42
43	Every interview is a session. Persist state between phases by calling:
44
45	```
46	knack interview save --session <session-id> --phase <phase> --data <json>
47	```
48
49	Resume a session with:
50
51	```
52	knack interview resume --session <session-id>
53	```
54
55	## Phase transitions
56
57	When a phase is complete (you've gathered what that phase's prompt says is
58	needed), call:
59
60	```
61	knack interview advance --session <session-id>
62	```
63
64	This persists the current phase's outputs and advances state. The CLI does
65	not ask the user anything — you do.
66
67	## Final output
68
69	When Refine is done and the user is satisfied, the CLI writes:
70
71	- `skills/<slug>/SKILL.md` — including the `## Intuition` section with
72	every rule captured during the Intuition phase.
73	- `skills/<slug>/meta.knack.yaml`
74	- `skills/<slug>/tests/basic.yaml` (if examples were captured)
75
76	There is no `skills/<slug>/intuition.md`. All rules live inside `SKILL.md`
77	so the agent that loads the skill at run time sees the rules in one
78	artifact, not split across files. (Skills pulled from older cloud
79	versions may still ship a sidecar `intuition.md`; the publish path
80	tolerates it for back-compat but new authoring does not produce one.)
81
82	Then `knack publish <slug>` releases it to the user's configured backend.
83
84	## What you should never do
85
86	- Don't mention Anthropic, Claude, or any model name to the user.
87	- Don't say "we" — you are one entity, not a team.
88	- Don't promise specific future behavior — you're capturing, not selling.
89	- Don't fabricate examples. If the user hasn't given a concrete instance, ask
90	for one.

People who liked this also viewed

6 picks

Type