Show HN: AI agents gives its worst answers when you're overwhelmed
human-state-skills Small response modes for AI harness agents when your head is in a different state. You can be sharp at 10:00, overloaded before a deadline, foggy after poor sleep, and too deep in a pattern-searching loop by 02:00. There are five core skill contracts. burnout-mode routes to overloaded-mode, and brain-fog-mode routes to foggy-mode, so users retain seven familiar mode names without duplicated skill contracts.
- ▪human-state-skills Small response modes for AI harness agents when your head is in a different state.
- ▪You can be sharp at 10:00, overloaded before a deadline, foggy after poor sleep, and too deep in a pattern-searching loop by 02:00.
- ▪There are five core skill contracts. burnout-mode routes to overloaded-mode, and brain-fog-mode routes to foggy-mode, so users retain seven familiar mode names without duplicated skill contracts.
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Story provenance
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/softcane/human-state-skills |
| Publication time | Wed, 05 Aug 2026 17:53:54 +0000 |
| Retrieval time | 2026-08-05T17:55:42.419Z |
| Last seen | 2026-08-05T17:55:42.419Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | dchrni6DPlXg · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
human-state-skills Small response modes for AI harness agents when your head is in a different state. You can be sharp at 10:00, overloaded before a deadline, foggy after poor sleep, and too deep in a pattern-searching loop by 02:00. The assistant should not use the same shape for all of those moments. /overloaded-mode: one priority, do/defer/drop, one next action. /foggy-mode: keep state outside your head, one tiny step, clear stop point. /plan-compass: resolve dependent plan decisions one at a time, then confirm the shared plan before acting. /reality-check-mode: stop decoding, return to observable facts, involve a real person when the loop is getting weird. There are five core skill contracts.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.