H-5880: Adopt open Agent Skills standard #8201

indietyp · 2025-12-19T00:06:51Z

🌟 What is the purpose of this PR?

Aligns skills with the Agent Skills specification and migrates anthropics skill management tooling from Python to TypeScript. This creates a vendor-agnostic skill system that can work with any AI agent supporting the specification.

🔗 Related links

https://agentskills.io

🔍 What does this change?

New skill-creator Skill:

Combined the existing writing-skills skill with Anthropic's skill-creator skill
Rewrote Python scripts from Anthropic's skill-creator in TypeScript with proper Zod validation at libs/@local/repo-chores/node/scripts/skill-management/
Invoked via yarn agents:skill-management <command> (init, validate, generate-skill-rules, skill-rules-schema)
Templates stored in .claude/skills/skill-creator/assets/
Removed the old writing-skills skill (merged into skill-creator)

Skill Structure Changes:

Triggers now defined in metadata.triggers within each SKILL.md (single source of truth)
Renamed directories: resources/ → references/ to match spec terminology
Schema field renames (kebab-case): intentPatterns → intent-patterns, fileTriggers → files, pathPatterns → files.include, pathExclusions → files.exclude, contentPatterns → files.content to match YAML naming scheme.

CI Integration:

Added validation step in .github/workflows/lint.yml that validates skills and checks skill-rules.json is up to date

Updated Skills:

All existing skills updated to use new frontmatter format with metadata.triggers
Updated vendor rules (ark-ui, mastra, panda-css, zod) to new format

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

does not modify any publishable blocks or libraries, or modifications do not need publishing

📜 Does this require a change to the docs?

The changes in this PR:

are internal and do not require a docs change

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

do not affect the execution graph

cursor · 2025-12-19T00:06:57Z

PR Summary

Migrates skills to the Agent Skills specification with frontmatter triggers, adds a TypeScript skill-management CLI, updates all skills/rules and CI to validate/generate skill-rules.json, and removes legacy validation code.

Skills & Spec
- Migrate to Agent Skills spec: triggers now in metadata.triggers in each SKILL.md; generate consolidated skill-rules.json v2.0.
- Add new skill-creator skill; remove old writing-skills; update all existing skills and vendor rules (ark-ui, mastra, panda-css, zod).
Tooling (TypeScript CLI)
- New commands in libs/@local/repo-chores/node/scripts/skill-management: init, validate, generate-skill-rules, skill-rules-schema (Zod-validated).
- Repository script: yarn agents:skill-management ....
CI
- Lint workflow validates skills and enforces regenerated .claude/skills/skill-rules.json is up to date.
Hooks
- Simplify skill-activation-prompt.ts; remove legacy in-script validation; update snapshots/tests.
Docs & Structure
- Rename resources/ → references/; refresh SKILL docs and references.
Dependencies
- Add @optique/core, js-yaml (+ types); wire into repo-chores package.

^{Written by Cursor Bugbot for commit 688a73a. This will update automatically on new commits. Configure here.}

indietyp · 2025-12-19T00:07:12Z

This stack of pull requests is managed by Graphite. Learn more about stacking.

.claude/skills/skill-creator/assets/SKILL.template.md

lunelson · 2025-12-19T09:48:32Z

.config/agents/rules/mastra.md

+metadata:
+  triggers:
+    type: domain
+    enforcement: suggest
+    priority: medium
+    keywords:
+      - mastra
+      - "@mastra/"
+      - mastra.ai
+    intent-patterns:
+      - "\\b(use|build|create|implement)\\b.*?\\bmastra\\b"
+      - "\\b(agent|workflow|rag)\\b.*?\\bmastra\\b"


@indietyp I'm curious about these properties: do they really affect the way the agent uses the skill? The "agent skills" standard seems to rather recommend sticking to the description as the means of hinting to the agent about when to load the skill; and they offer this context injection pattern with their own python util to provide more imperative

The metadata field is not read by the agent that's correct. But I changed it so that the skill-rules.json file is now derived from the SKILL.md to colocate it. I am also happy to rewrite/use the Anthropic code/skill instead but didn't want to disturb the current hook based approach for anyone who is using it!

Ah, you mean open-source contributors outside of hash who might be using it?

Not necessarily mostly just for us. When editing the skill files those that are using hooks (eg Tim) don't need to maintain multiple places and we can use it in integrating with other tools (such as amp code) later on. So it's just a movement of information to built up a single source of truth

vilkinsons · 2025-12-19T14:23:24Z

Just flagging we have snapshot files with German names:

.claude/hooks/__snapshots__/dokumentation verbessern.snap
.claude/hooks/__snapshots__/wie funktioniert das skill system.snap

Your organization requires reapproval when changes are made, so Graphite has dismissed approvals. See the output of git range-diff at https://github.com/hashintel/hash/actions/runs/20373064722

indietyp · 2025-12-19T14:33:54Z

Just flagging we have snapshot files with German names:

.claude/hooks/__snapshots__/dokumentation verbessern.snap

.claude/hooks/__snapshots__/wie funktioniert das skill system.snap

have been removed!

github-actions · 2025-12-19T15:39:37Z

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$26.0 \mathrm{ms} \pm 253 \mathrm{μs}\left({\color{lightgreen}-6.158 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.24 \mathrm{ms} \pm 13.8 \mathrm{μs}\left({\color{gray}-3.057 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$11.9 \mathrm{ms} \pm 80.7 \mathrm{μs}\left({\color{lightgreen}-5.217 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$42.7 \mathrm{ms} \pm 290 \mathrm{μs}\left({\color{gray}-1.473 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.3 \mathrm{ms} \pm 121 \mathrm{μs}\left({\color{gray}-2.538 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$23.4 \mathrm{ms} \pm 162 \mathrm{μs}\left({\color{gray}-3.684 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$26.5 \mathrm{ms} \pm 172 \mathrm{μs}\left({\color{lightgreen}-39.143 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.63 \mathrm{ms} \pm 14.7 \mathrm{μs}\left({\color{lightgreen}-82.733 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$11.8 \mathrm{ms} \pm 69.9 \mathrm{μs}\left({\color{lightgreen}-62.958 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.62 \mathrm{ms} \pm 16.0 \mathrm{μs}\left({\color{gray}-0.207 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.85 \mathrm{ms} \pm 14.6 \mathrm{μs}\left({\color{gray}0.581 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.19 \mathrm{ms} \pm 16.6 \mathrm{μs}\left({\color{gray}0.077 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$4.96 \mathrm{ms} \pm 24.3 \mathrm{μs}\left({\color{gray}-0.649 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.39 \mathrm{ms} \pm 15.2 \mathrm{μs}\left({\color{gray}-1.633 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$3.93 \mathrm{ms} \pm 18.0 \mathrm{μs}\left({\color{gray}-0.012 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.25 \mathrm{ms} \pm 20.9 \mathrm{μs}\left({\color{gray}-1.775 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.27 \mathrm{ms} \pm 12.1 \mathrm{μs}\left({\color{gray}-3.915 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$3.84 \mathrm{ms} \pm 19.4 \mathrm{μs}\left({\color{gray}-1.224 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.56 \mathrm{ms} \pm 10.6 \mathrm{μs}\left({\color{red}6.71 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.49 \mathrm{ms} \pm 8.74 \mathrm{μs}\left({\color{gray}3.47 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.60 \mathrm{ms} \pm 11.6 \mathrm{μs}\left({\color{red}5.21 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.78 \mathrm{ms} \pm 13.4 \mathrm{μs}\left({\color{gray}4.80 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.71 \mathrm{ms} \pm 15.2 \mathrm{μs}\left({\color{red}6.83 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.86 \mathrm{ms} \pm 11.9 \mathrm{μs}\left({\color{red}6.16 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$2.90 \mathrm{ms} \pm 12.6 \mathrm{μs}\left({\color{red}5.04 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.59 \mathrm{ms} \pm 14.3 \mathrm{μs}\left({\color{gray}3.86 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.74 \mathrm{ms} \pm 10.6 \mathrm{μs}\left({\color{red}6.08 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.26 \mathrm{ms} \pm 17.5 \mathrm{μs}\left({\color{gray}4.86 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.81 \mathrm{ms} \pm 12.1 \mathrm{μs}\left({\color{red}6.31 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.03 \mathrm{ms} \pm 12.7 \mathrm{μs}\left({\color{gray}4.51 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.12 \mathrm{ms} \pm 15.5 \mathrm{μs}\left({\color{gray}-0.772 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.79 \mathrm{ms} \pm 11.4 \mathrm{μs}\left({\color{red}5.93 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.00 \mathrm{ms} \pm 14.1 \mathrm{μs}\left({\color{gray}4.65 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$38.5 \mathrm{ms} \pm 168 \mathrm{μs}\left({\color{gray}-0.996 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$77.0 \mathrm{ms} \pm 387 \mathrm{μs}\left({\color{gray}0.487 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$44.9 \mathrm{ms} \pm 181 \mathrm{μs}\left({\color{gray}2.87 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$45.6 \mathrm{ms} \pm 212 \mathrm{μs}\left({\color{gray}0.492 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$56.5 \mathrm{ms} \pm 291 \mathrm{μs}\left({\color{red}5.10 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$41.4 \mathrm{ms} \pm 159 \mathrm{μs}\left({\color{gray}2.77 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$426 \mathrm{ms} \pm 939 \mathrm{μs}\left({\color{gray}2.77 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$95.9 \mathrm{ms} \pm 463 \mathrm{μs}\left({\color{gray}0.255 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$84.8 \mathrm{ms} \pm 376 \mathrm{μs}\left({\color{gray}-0.043 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$288 \mathrm{ms} \pm 918 \mathrm{μs}\left({\color{gray}1.05 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$15.0 \mathrm{ms} \pm 78.7 \mathrm{μs}\left({\color{gray}3.93 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$15.7 \mathrm{ms} \pm 89.3 \mathrm{μs}\left({\color{gray}4.74 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$15.4 \mathrm{ms} \pm 105 \mathrm{μs}\left({\color{gray}-0.561 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$15.3 \mathrm{ms} \pm 65.9 \mathrm{μs}\left({\color{gray}1.67 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$17.6 \mathrm{ms} \pm 110 \mathrm{μs}\left({\color{gray}-3.650 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$14.6 \mathrm{ms} \pm 69.4 \mathrm{μs}\left({\color{lightgreen}-6.046 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$14.9 \mathrm{ms} \pm 80.0 \mathrm{μs}\left({\color{gray}-3.024 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$14.7 \mathrm{ms} \pm 67.8 \mathrm{μs}\left({\color{gray}-3.736 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$15.4 \mathrm{ms} \pm 72.1 \mathrm{μs}\left({\color{gray}-3.506 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$22.2 \mathrm{ms} \pm 150 \mathrm{μs}\left({\color{gray}-3.505 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/block/v/1`	$$30.2 \mathrm{ms} \pm 271 \mathrm{μs}\left({\color{gray}-0.622 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$30.6 \mathrm{ms} \pm 220 \mathrm{μs}\left({\color{gray}4.18 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$30.6 \mathrm{ms} \pm 316 \mathrm{μs}\left({\color{gray}4.67 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$30.5 \mathrm{ms} \pm 319 \mathrm{μs}\left({\color{gray}3.97 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$30.2 \mathrm{ms} \pm 293 \mathrm{μs}\left({\color{gray}-0.934 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$30.0 \mathrm{ms} \pm 275 \mathrm{μs}\left({\color{gray}0.467 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$30.3 \mathrm{ms} \pm 251 \mathrm{μs}\left({\color{gray}4.31 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$29.7 \mathrm{ms} \pm 267 \mathrm{μs}\left({\color{gray}1.74 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$28.7 \mathrm{ms} \pm 241 \mathrm{μs}\left({\color{gray}-3.107 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.28 \mathrm{ms} \pm 39.9 \mathrm{μs}\left({\color{gray}2.06 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$46.4 \mathrm{ms} \pm 274 \mathrm{μs}\left({\color{gray}-4.205 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$94.5 \mathrm{ms} \pm 491 \mathrm{μs}\left({\color{gray}-2.481 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$51.9 \mathrm{ms} \pm 313 \mathrm{μs}\left({\color{gray}-4.877 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$61.4 \mathrm{ms} \pm 308 \mathrm{μs}\left({\color{gray}-0.200 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$68.0 \mathrm{ms} \pm 326 \mathrm{μs}\left({\color{gray}-2.473 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$75.0 \mathrm{ms} \pm 297 \mathrm{μs}\left({\color{gray}-2.582 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$50.0 \mathrm{ms} \pm 207 \mathrm{μs}\left({\color{gray}-2.814 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$77.3 \mathrm{ms} \pm 329 \mathrm{μs}\left({\color{gray}-3.859 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$58.2 \mathrm{ms} \pm 373 \mathrm{μs}\left({\color{gray}0.277 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$65.2 \mathrm{ms} \pm 340 \mathrm{μs}\left({\color{gray}-1.885 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$66.3 \mathrm{ms} \pm 333 \mathrm{μs}\left({\color{gray}-4.052 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$67.4 \mathrm{ms} \pm 338 \mathrm{μs}\left({\color{gray}-2.757 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$141 \mathrm{ms} \pm 518 \mathrm{μs}\left({\color{gray}-1.491 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$139 \mathrm{ms} \pm 459 \mathrm{μs}\left({\color{gray}-1.703 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$39.5 \mathrm{ms} \pm 189 \mathrm{μs}\left({\color{lightgreen}-62.313 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$604 \mathrm{ms} \pm 1.04 \mathrm{ms}\left({\color{gray}-0.217 \mathrm{\%}}\right) $$	Flame Graph

indietyp added 16 commits December 18, 2025 21:26

feat: move to skill creator

5628a8f

fix: overhaul skills to use new metadata

1dd4bf3

fix: markdownlint

0439215

chore: checkpoint

b8965f6

fix: schema

b15b7ab

fix: init

02459cc

feat: validate

402f4eb

feat: improve output

25f94e1

feat: skill-management.ts

4e2c618

chore: remove scripts

f7bf765

feat: rules schema

0c03f9c

fix: formatting

abe4bc6

fix: skill files

bbfff71

chore: update snapshots

eb93eb6

feat: linting

d1b7e7b

fix: dead references

1032b0b

graphite-app bot assigned indietyp Dec 19, 2025

indietyp mentioned this pull request Dec 19, 2025

BE-249: Remove dependence on nightly allocator api in dependencies and modularize heap #8193

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feat: remove 🇩🇪

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indietyp added this pull request to the merge queue Dec 19, 2025

indietyp changed the title ~~BE-5880: Adopt open Agent Skills standard~~ H-5880: Adopt open Agent Skills standard Dec 19, 2025

Merged via the queue into main with commit 0b18aa0 Dec 19, 2025
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indietyp deleted the bm/h-5880-adjust-skills-to-be-in-line-with-new-open-standard branch December 19, 2025 15:16

H-5880: Adopt open Agent Skills standard #8201

H-5880: Adopt open Agent Skills standard #8201

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indietyp commented Dec 19, 2025

🌟 What is the purpose of this PR?

🔗 Related links

🔍 What does this change?

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

📜 Does this require a change to the docs?

🕸️ Does this require a change to the Turbo Graph?

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indietyp Dec 19, 2025

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vilkinsons commented Dec 19, 2025

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indietyp commented Dec 19, 2025

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github-actions bot commented Dec 19, 2025

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

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5 participants

cursor bot commented Dec 19, 2025 •

edited

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