An LSP for agent skills–rename, references, completion, and diagnostics is a skill AI agent for To provide intelligent code-level assistance—like renaming, references, completion, and diagnostics—when developing and debugging AI agent capabilities locally. Pricing: Free. As of 2026-11-06, KanonAgent records 1 upvotes. First indexed by KanonAgent on 2026-07-31.
A language server protocol tailored for building and managing AI agent skills with intelligent code support.
1 upvotes
Tracked by Kanon since Jul 31, 2026
Status basis: npm_downloads_7d momentum fell to 110 per 3d from 312 (<= 40% of the prior window)
📈 Timelinewhat changed, and when
- Cooling npm_downloads_7d momentum fell to 110 per 3d from 312 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 294 in the last 3d vs 5 in the 3d before (ratio 58.8x, threshold 1.5x)
- Anomaly daily change 147.0 is 7.6 standard deviations from this entity's own prior mean (2.2±19.1, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 110 per 3d from 312 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 296 in the last 3d vs 3 in the 3d before (ratio 98.7x, threshold 1.5x)
- Anomaly daily change 147.0 is 7.6 standard deviations from this entity's own prior mean (2.2±19.1, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 296 in the last 3d vs 3 in the 3d before (ratio 98.7x, threshold 1.5x)
- Anomaly daily change 147.0 is 7.6 standard deviations from this entity's own prior mean (2.2±19.1, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 147.0 is 7.6 standard deviations from this entity's own prior mean (2.2±19.1, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 5 in the last 3d vs 2 in the 3d before (ratio 2.5x, threshold 1.5x)
- Anomaly daily change 16.0 is 3.9 standard deviations from this entity's own prior mean (-0.5±4.2, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -5 per 3d from 10 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -2 per 3d from 10 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 7 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 10 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -4 per 3d from 29 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -4 per 3d from 33 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 8 per 3d from 23 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 29 in the last 3d vs 4 in the 3d before (ratio 7.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 8 per 3d from 23 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 33 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 33 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 18.0 is 4.4 standard deviations from this entity's own prior mean (-0.3±4.2, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -30 per 3d from 22 (<= 40% of the prior window)
🔎 Known / Unknown
14 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | vscode,zed | inferred | 2 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneTo provide intelligent code-level assistance—like renaming, references, completion, and diagnostics—when developing and debugging AI agent capabilities locally.
Who it is forDevelopers building AI agents
Prerequisitesopen source
Integrationsvscode · zed
PricingFree
Traction · why it is risingAdopted by early-stage agent developers seeking structured, tool-backed workflows for skill creation.
Why it matters
It brings developer productivity tools to AI agent building, making reusable agent capabilities easier to design and maintain.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“[](https://open-vsx.org/extension/cyrusnewday/skil”— readme
“[](https://zed.dev/extensions/skill-language-server)”— readme
“Your skill library now has tooling.”— readme
Signal source: Show HN
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FAQ
What is An LSP?
A language server protocol tailored for building and managing AI agent skills with intelligent code support.
What does An LSP do?
To provide intelligent code-level assistance—like renaming, references, completion, and diagnostics—when developing and debugging AI agent capabilities locally.
Why does An LSP matter?
It brings developer productivity tools to AI agent building, making reusable agent capabilities easier to design and maintain.
How much does An LSP cost?
Free
Is An LSP free?
Yes — An LSP has a free tier. Pricing as stated on its own page: Free
Is An LSP open source?
Yes — An LSP is open source.
What does An LSP integrate with?
vscode,zed
How popular is An LSP?
As tracked by KanonAgent: 1 upvotes (first indexed 2026-07-31).
What are the best An LSP alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, taste-skill, Agent-Reach, archify.