s4h-analogy-perspective-shifting

Name: s4h-analogy-perspective-shifting
Author: human-avatar

205stars23forks

How to install s4h-analogy-perspective-shifting?

human-avatar/skills-for-humanity/s4h-analogy-perspective-shifting

$npx -y skills add human-avatar/skills-for-humanity --skill s4h-analogy-perspective-shifting

Installs into the current project.

Summary

Approaches a problem from completely different fields to break the assumption blindness that comes from domain expertise. Triggers: 'fresh eyes', 'outside perspective', 'what would a [different expert] say', 'beginner's mind', 'approach from another field'.

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SKILL.md

1	# Analogy Perspective Shifting
2
3	Domain expertise creates assumption blindness. The more you know about a field, the more
4	invisible its foundational assumptions become — they stop looking like choices and start
5	looking like facts. Bringing in genuine outsider perspectives breaks this. Not
6	hypothetically — by actually applying the diagnostic instincts and tools of people who
7	have never heard of your problem's usual framing.
8
9	---
10
11	## Your Process
12
13	Step 1: State the Problem
14	Describe the problem as you currently understand it. This is the insider framing — it will
15	contain the assumptions you're trying to surface.
16
17	Framing check: Confirm the specific problem before continuing. State what you've identified — the actual situation being examined and its domain — in one sentence, then use `AskUserQuestion`:
18	- Question: "I'm reading this as: [your one-sentence framing of the problem and its domain]. Is that right?"
19	- Header: "Framing"
20	- Options:
21	- Yes — proceed — framing is correct
22	- Adjust — one element is off; user will correct it before you continue
23	- Reframe — different situation than read; incorporate the correction before proceeding
24
25	Step 2: Choose 2-3 Genuinely Different Fields
26	Select fields with fundamentally different training, tools, and instincts. For software
27	problems: film production, archaeology, emergency medicine, urban planning. For
28	organisational problems: ecology, military logistics, theatre direction, structural
29	engineering. Avoid fields that are adjacent — choose fields that would produce different
30	first questions.
31
32	Step 3: Build Each Expert's Toolkit
33	For each field: what are their core diagnostic tools and instincts? What do they always
34	check first? What patterns are they trained to spot? What would their first question be
35	when encountering an unknown problem?
36
37	Step 4: Apply Each Lens
38	Apply each expert's toolkit to your problem. What do they immediately notice that insiders
39	overlook? What would they try first that you haven't? What would strike them as obviously
40	wrong or unnecessarily complex? Don't moderate the outsider view — let it be naive.
41
42	Step 5: Find Cross-Field Patterns
43	What do multiple outsiders notice independently? When different fields converge on the
44	same observation, that observation has a strong claim to being real — it's visible from
45	multiple angles, not an artefact of one framing.
46
47	---
48
49	## Human Check-in
50
51	Before proceeding, use the `AskUserQuestion` tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:
52
53	- Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
54	- Header: "Scope"
55	- Options:
56	- Full analysis — Complete all steps, reasoning shown throughout
57	- Key findings only — Bottom-line output, skip step-by-step detail
58	- Shifted perspective only — The view from the new field, skip the formal structural mapping
59	- Reframe — The read is off; correct it and the analysis will follow the corrected framing
60
61	Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.
62
63	## Output Format
64
65	Problem (insider framing):
66	> [Current description]
67
68	Field perspectives:
69
70	\| Field \| Core instincts / tools \| What they notice \| What they'd try first \|
71	\|-------\|------------------------\|------------------\|-----------------------\|
72	\| \| \| \| \|
73	\| \| \| \| \|
74
75	Cross-field patterns (what multiple outsiders see):
76	> [Observations that appear across more than one field]
77
78	Most useful foreign insight:
79	> [The single observation or approach from outside that would most change how you work
80	> the problem — and why it's been invisible from inside]
81
82	---
83
84	## Notes
85
86	The exercise fails if the "outside" perspectives are just your own reasoning relabelled.
87	Each field's observations should surprise you. If they don't, you haven't actually left
88	your frame — you've just dressed it in different vocabulary.
89
90	---
91
92	## What's Next
93
94	After delivering this output, use `AskUserQuestion` to offer the next move:
95
96	- Question: "Perspectives shifted. What's next?"
97	- Header: "Next"
98	- Options:
99	- `/s4h-communication-audience-modeling` — Model the audience through each shifted perspective
100	- `/s4h-creativity-alternatives` — Generate alternatives from each perspective
101	- `/s4h-emotional-motivation-mapping` — Map motivations visible from each perspective
102	- Done — Wrap up and synthesise what we have so far

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s4h-analogy-perspective-shifting

205stars23forks

View on GitHub

How to install s4h-analogy-perspective-shifting?

human-avatar/skills-for-humanity/s4h-analogy-perspective-shifting

$npx -y skills add human-avatar/skills-for-humanity --skill s4h-analogy-perspective-shifting

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Analogy Perspective Shifting
2
3	Domain expertise creates assumption blindness. The more you know about a field, the more
4	invisible its foundational assumptions become — they stop looking like choices and start
5	looking like facts. Bringing in genuine outsider perspectives breaks this. Not
6	hypothetically — by actually applying the diagnostic instincts and tools of people who
7	have never heard of your problem's usual framing.
8
9	---
10
11	## Your Process
12
13	Step 1: State the Problem
14	Describe the problem as you currently understand it. This is the insider framing — it will
15	contain the assumptions you're trying to surface.
16
17	Framing check: Confirm the specific problem before continuing. State what you've identified — the actual situation being examined and its domain — in one sentence, then use `AskUserQuestion`:
18	- Question: "I'm reading this as: [your one-sentence framing of the problem and its domain]. Is that right?"
19	- Header: "Framing"
20	- Options:
21	- Yes — proceed — framing is correct
22	- Adjust — one element is off; user will correct it before you continue
23	- Reframe — different situation than read; incorporate the correction before proceeding
24
25	Step 2: Choose 2-3 Genuinely Different Fields
26	Select fields with fundamentally different training, tools, and instincts. For software
27	problems: film production, archaeology, emergency medicine, urban planning. For
28	organisational problems: ecology, military logistics, theatre direction, structural
29	engineering. Avoid fields that are adjacent — choose fields that would produce different
30	first questions.
31
32	Step 3: Build Each Expert's Toolkit
33	For each field: what are their core diagnostic tools and instincts? What do they always
34	check first? What patterns are they trained to spot? What would their first question be
35	when encountering an unknown problem?
36
37	Step 4: Apply Each Lens
38	Apply each expert's toolkit to your problem. What do they immediately notice that insiders
39	overlook? What would they try first that you haven't? What would strike them as obviously
40	wrong or unnecessarily complex? Don't moderate the outsider view — let it be naive.
41
42	Step 5: Find Cross-Field Patterns
43	What do multiple outsiders notice independently? When different fields converge on the
44	same observation, that observation has a strong claim to being real — it's visible from
45	multiple angles, not an artefact of one framing.
46
47	---
48
49	## Human Check-in
50
51	Before proceeding, use the `AskUserQuestion` tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:
52
53	- Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
54	- Header: "Scope"
55	- Options:
56	- Full analysis — Complete all steps, reasoning shown throughout
57	- Key findings only — Bottom-line output, skip step-by-step detail
58	- Shifted perspective only — The view from the new field, skip the formal structural mapping
59	- Reframe — The read is off; correct it and the analysis will follow the corrected framing
60
61	Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.
62
63	## Output Format
64
65	Problem (insider framing):
66	> [Current description]
67
68	Field perspectives:
69
70	\| Field \| Core instincts / tools \| What they notice \| What they'd try first \|
71	\|-------\|------------------------\|------------------\|-----------------------\|
72	\| \| \| \| \|
73	\| \| \| \| \|
74
75	Cross-field patterns (what multiple outsiders see):
76	> [Observations that appear across more than one field]
77
78	Most useful foreign insight:
79	> [The single observation or approach from outside that would most change how you work
80	> the problem — and why it's been invisible from inside]
81
82	---
83
84	## Notes
85
86	The exercise fails if the "outside" perspectives are just your own reasoning relabelled.
87	Each field's observations should surprise you. If they don't, you haven't actually left
88	your frame — you've just dressed it in different vocabulary.
89
90	---
91
92	## What's Next
93
94	After delivering this output, use `AskUserQuestion` to offer the next move:
95
96	- Question: "Perspectives shifted. What's next?"
97	- Header: "Next"
98	- Options:
99	- `/s4h-communication-audience-modeling` — Model the audience through each shifted perspective
100	- `/s4h-creativity-alternatives` — Generate alternatives from each perspective
101	- `/s4h-emotional-motivation-mapping` — Map motivations visible from each perspective
102	- Done — Wrap up and synthesise what we have so far

People who liked this also viewed

6 picks

Type